Publications

20271

Cutting Tokens, Creating Threats: Evaluating Token Compression-Induced Vulnerabilities in Large Vision-Language Models

Xiaomei Zhang, Zhaoxi Zhang, Leo Yu Zhang, Yanjun Zhang, Guanhong Tao, Shirui Pan

NDSS 2027, conference

arXiv

202689

"Do Not Mention This to the User": Detecting and Understanding Malicious Agent Skills in the Wild

Yi Liu, Zhihao Chen, Yanjun Zhang, Gelei Deng, Yuekang Li, Jianting Ning, Leo Yu Zhang

USENIX Security 2026, conference

Character-Level Perturbations Disrupt LLM Watermarks

Zhaoxi Zhang, Xiaomei Zhang, Yanjun Zhang, He Zhang, Shirui Pan, Bo Liu, Asif Gill, Leo Yu Zhang

NDSS 2026, conference

arXiv

Defending Jailbreak Attacks on Large Language Models via Manifold Trajectory Kinetics

Hangtao Zhang, Yucheng Zhao, Sishun Liu, Ziqi Zhou, Zeyu Ye, Wei Wan, Minghui Li, Shengshan Hu, Yanjun Zhang, Yi Liu, Leo Yu Zhang

USENIX Security 2026, conference

arXiv

Failures to Surface Harmful Contents in Video Large Language Models

Yuxin Cao, Wei Song, Derui Wang, Jingling Xue, Jin Song Dong

AAAI 2026, conference

Help or Hurdle? Rethinking Model Context Protocol-Augmented Large Language Models

Wei Song, Haonan Zhong, Ziqi Ding, Zhenchang Xing, Yulei Sui, Jingling Xue, Yuekang Li

EMNLP 2026, conference

How Your Credentials Are Leaked by LLM Agent Skills: An Empirical Study

Zhihao Chen, Ying Zhang, Yi Liu, Gelei Deng, Yuekang Li, Yanjun Zhang, Jianting Ning, Leo Yu Zhang, Lei Ma, Zhiqiang Li

ASE 2026, conference

Post-Quantum Traceable Anonymous Credentials from Lattices

Madusha Chathurangi, Qinyi Li, Ernest Foo, Leo Yu Zhang

IACR CiC 2026, journal

Rethinking Federated Unlearning via the Lens of Memorization

Jiaheng Wei, Yanjun Zhang, He Zhang, Leo Yu Zhang, Chao Chen, Kok-Leong Ong, Jun Zhang, Yang Xiang

KDD 2026, conference

arXiv

T3AT: Threshold-Authorized, Threshold-Redeemable, and Non-Transferable Anonymous Tokens

Xincheng Li, Jian Shen, Jianting Ning, Meng Hao, Leo Yu Zhang

IEEE TIFS 2026, journal

VideoSTF: Stress-Testing Output Repetition in Video Large Language Models

Yuxin Cao, Wei Song, Shangzhi Xu, Jingling Xue, Jin Song Dong

NeurIPS 2026, conference

arXiv

A Multi-Grained Parallel Spatio-Temporal Learning Architecture for Deepfake Video Detection

Hui Miao, Yuanfang Guo, Leo Yu Zhang, Jiantao Zhou, Yunhong Wang

IEEE TMM 2026, journal

A newly image encryption scheme based on 3-D coupled map lattice and Baker map

Zhuo Liu, Yong Wang, Jinyuan Liu, Jun Feng, Leo Yu Zhang

Cybersecurity 2026, journal

A Novel Differentially Private Implicit Recommendation Algorithm Based on Gradient Perturbation Optimization

Zhiqiang Zhang, Qianhong Chen, Jiangzhou Deng, Leo Yu Zhang, Kobiljon Kh. Khushvakhtzoda, Yong Wang

IEEE TCSS 2026, journal

A structure-aware and explainable approach to website fingerprinting using graph neural networks

Zulu Okonkwo, Ernest Foo, Zhe Hou, Qinyi Li, Zahra Jadidi

Information Sciences 2026, journal

Achieving Adversarial Robustness without Adversarial Training: Robust Dataset Distillation

Yuhang Zhou, Zhongyun Hua, Nankun Mu, Yushu Zhang, Qing Liao, Leo Yu Zhang

IEEE TDSC 2026, journal

Agent Skills in the Wild: An Empirical Study of Security Vulnerabilities at Scale

Yi Liu, Weizhe Wang, Ruitao Feng, Yao Zhang, Guangquan Xu, Gelei Deng, Yuekang Li, Leo Zhang

arXiv 2026, preprint

arXiv

AI Slop and Hallucinations in Vulnerability Assessment: A Survey on Reasoning Failures and Trustworthy Mitigation

Junchen Ding, Jialiang Dong, Yichen Zhu, Yi Liu, Gelei Deng, Willy Susilo, Siqi Ma, Yuekang Li

SiMLA 2026, workshop

arXiv

An n-Dimensional Discrete Chaotic Model and Its Application

Zhiqiang Zhang, Liping Liao, Yongdong Wang, Mingyue Wang, Yong Wang, Leo Yu Zhang

IEEE TSMC 2026, journal

Anamorphic Encryption with CCA Security: A Standard Model Construction

Shujun Wang, Jianting Ning, Qinyi Li, Leo Yu Zhang

arXiv 2026, preprint

arXiv

ARES: Scalable and Practical Gradient Inversion Attack in Federated Learning Through Activation Recovery

Zirui Gong, Leo Yu Zhang, Yanjun Zhang, Viet Vo, Tianqing Zhu, Shirui Pan, Cong Wang

IEEE S&P 2026, conference

Artificial Intelligence for Drowning Detection: Technical Feasibility Established, Operational Viability Unproven

Gabriel Isaias Padua Carvalho, Gang Ji, Qinyi Li, Lian Wen

IEEE Access 2026, journal

Backdoor defense based on adversarial prediction proximity and contrastive knowledge distillation

Lin Huang, Leo Yu Zhang, Ching-Chun Chang, Wei Wang, Chuan Qin

Pattern Recognition 2026, journal

Beyond Denial-of-Service: The Puppeteer's Attack for Fine-Grained Control in Ranking-Based Federated Learning

Zhihao Chen, Zirui Gong, Jianting Ning, Yanjun Zhang, Leo Yu Zhang

WWW 2026, conference

BPO: Backdoor Purification via Overwriting

Lin Huang, Tinghua Wang, Leo Yu Zhang, Chuan Qin, Xinpeng Zhang

IEEE TKDE 2026, journal

CIA: Inferring the Communication Topology from LLM-based Multi-Agent Systems

Yongxuan Wu, Xixun Lin, He Zhang, Nan Sun, Kun Wang, Chuan Zhou, Shirui Pan, Yanan Cao

ACL 2026, conference

CognixShield: PoV-Guided Vulnerable API Usage Detection in Large Codebases via LLMs

Quanzhi Fu, Lingxiang Wang, Wenjia Song, Gelei Deng, Yi Liu, Dan Williams, Ying Zhang

ESEM 2026, conference

Credential Leakage in LLM Agent Skills: A Large-Scale Empirical Study

Zhihao Chen, Ying Zhang, Yi Liu, Gelei Deng, Yuekang Li, Yanjun Zhang, Jianting Ning, Leo Yu Zhang, Lei Ma, Zhiqiang Li

arXiv 2026, preprint

arXiv

Cross-model denoising and Spearman-based negative sample filling for implicit feedback recommendation

Zhiqiang Zhang, Jiayi Zhao, Jiangzhou Deng, Jianmei Ye, Leo Yu Zhang, Yong Wang, Kobiljon Kh. Khushvakhtzoda

Expert Systems with Applications 2026, journal

CrossSteer: Cross-Modal Safety Steering for Audio-Language Models

Houde Dong, Weifei Jin, Yuxin Cao, Wei Song, Derui Wang, Jie Hao

NeurIPS 2026, conference

Debiased Dual-Invariant Defense for Adversarially Robust Person Re-Identification

Yuhang Zhou, Yanxiang Zhao, Zhongyun Hua, Zhipu Liu, Zhaoquan Gu, Qing Liao, Leo Yu Zhang

AAAI 2026, conference

Debiasing LLMs by Masking Unfairness-Driving Attention Heads

Tingxu Han, Wei Song, Ziqi Ding, Ziming Li, Chunrong Fang, Yuekang Li, Dongfang Liu, Zhenyu Chen, Zhenting Wang

ACL Findings 2026, conference

DeMark: A Query-Free Black-Box Attack on Deepfake Watermarking Defenses

Wei Song, Zhenchang Xing, Liming Zhu, Yulei Sui, Jingling Xue

Under review 2026, preprint

Designing an Observable Human-Centric Agentic AI System Architecture for Decision-Making

Asif Qumer Gill, Yanjun Zhang

EDOC Workshops 2026, workshop

Distributed Backdoor Attack Against Knowledge Distillation-Based Federated Learning

Xinrui Liu, Nankun Mu, Zhaoquan Gu, Zhongyun Hua, Leo Yu Zhang

IEEE SPL 2026, journal

Dual-View Inference Attack: Machine Unlearning Amplifies Privacy Exposure

Lulu Xue, Shengshan Hu, Linqiang Qian, Peijin Guo, Yechao Zhang, Minghui Li, Yanjun Zhang, Dayong Ye, Leo Yu Zhang

AAAI 2026, conference

DUAP: Dual-task Universal Adversarial Perturbations Against Voice Control Systems

Suyang Sun, Weifei Jin, Yuxin Cao, Wei Song, Jie Hao

ICME 2026, conference

Efficient Identity-Based Matchmaking Encryption with Enhanced Privacy and Chosen-Ciphertext Security

Qinyi Li, Hao Qin, Xavier Boyen

ACISP 2026, conference

Enhancing and Reporting Robustness Boundary of Neural Code Models for Intelligent Code Understanding

Tingxu Han, Wei Song, Weisong Sun, Hao Wu, Chunrong Fang, Yuan Xiao, Xiaofang Zhang, Zhenyu Chen, Yang Liu

arXiv 2026, preprint

arXiv

Erosion Attack for Adversarial Training to Enhance Semantic Segmentation Robustness

Yufei Song, Ziqi Zhou, Menghao Deng, Yifan Hu, Shengshan Hu, Minghui Li, Leo Yu Zhang

arXiv 2026, preprint

arXiv

FAIRT2V: Training-Free Debiasing for Text-to-Video Diffusion Models

Haonan Zhong, Wei Song, Tingxu Han, Maurice Pagnucco, Jingling Xue, Yang Song

arXiv 2026, preprint

arXiv

FedCSGA: Evolutionary client selection with joint statistical and system heterogeneity in federated learning

Ghani Haider, Majid Kundroo, Leo Yu Zhang, Jinchul Choi, Taehong Kim

Journal of Systems Architecture 2026, journal

Fine-Grained Poisoning Framework Against Federated Learning

Minghui Li, Hangtao Zhang, Yanjun Zhang, Li Zeng, Chao Chen, Qiyun Shao, Wei Wan, Shengshan Hu, Leo Yu Zhang

IEEE TDSC 2026, journal

Fluent: Round-efficient secure aggregation for private federated learning

Xincheng Li, Jianting Ning, Geong Sen Poh, Xinchun Yin, Leo Yu Zhang, Tianwei Zhang

Computer Standards & Interfaces 2026, journal

From Subtle to Significant: Prompt-Driven Self-Improving Optimization in Test-Time Graph OOD Detection

Luzhi Wang, Xuanshuo Fu, He Zhang, Chuang Liu, Xiaobao Wang, Hongbo Liu

AAAI 2026, conference

FSSDM: A Maliciously Secure Inference Scheme for Diffusion Models with Function Secret Sharing

Wang Zhang, Fuyi Wang, Rongfang Bie, Leo Yu Zhang, Yu Guo, Xiaohua Jia

IEEE TDSC 2026, journal

Gradient Structure Estimation under Label-Only Oracles via Spectral Sensitivity

Jun Liu, Leo Yu Zhang, Fengpeng Li, Isao Echizen, Jiantao Zhou

arXiv 2026, preprint

arXiv

How Do Agentic LLMs Decide to Call Tools? A Tool-Call Vector Shaped by Suppression

Xijie Gong, Tingxu Han, Jiahao Zhang, Wei Song, Ziqi Ding, Hanqi Yan, Youcheng Sun, Lijie Hu

NeurIPS 2026, conference

arXiv

Image-to-Video Diffusion: From Foundations to Open Frontiers

Xianlong Wang, Wenbo Pan, Shijia Zhou, Ke Li, Yuqi Wang, Zeyu Ye, Hangtao Zhang, Leo Yu Zhang, Xiaohua Jia

arXiv 2026, preprint

arXiv

Imperceptible and Reversible Adversarial Examples against Vision-Language Models for Privacy Protection

Qi Lu, Ziqi Zhou, Yufei Song, Zijing Li, Lulu Xue, Minghui Li, Shengshan Hu, Leo Yu Zhang

ACM MM 2026, conference

arXiv

Imprint of the Forgotten: Stealthy Membership Inference in Unlearned Graph Neural Networks

He Zhang, Bang Wu, Xiaoning Liu, Karin Verspoor, Xun Yi

AAAI 2026, conference

IsBad: Imperceptible Sample-Specific Backdoor to DNN With Denoising Autoencoder

Xiangqi Wang, Mingfu Xue, Kewei Chen, Jing Xu, Wenmao Liu, Leo Yu Zhang, Yushu Zhang

IEEE TETC 2026, journal

Lightweight multi-client order-revealing encryption with limited leakage

Chunyang Lv, Jianfeng Wang, Shifeng Sun, Saiyu Qi, Chao Chen, Leo Yu Zhang, Kok-Leong Ong

Information Sciences 2026, journal

LLM-VA: Resolving the Jailbreak-Overrefusal Trade-off via Vector Alignment

Haonan Zhang, Dongxia Wang, Yi Liu, Kexin Chen, Wenhai Wang

ACL 2026, conference

Low-Cost Hard-Label Adversarial Attack with Theoretical Foundations

Jun Liu, Leo Yu Zhang, Fengpeng Li, Isao Echizen, Jiantao Zhou

USENIX Security 2026, conference

arXiv

Malicious Agent Skills in the Wild: A Large-Scale Security Empirical Study

Yi Liu, Zhihao Chen, Yanjun Zhang, Gelei Deng, Yuekang Li, Jianting Ning, Leo Yu Zhang

arXiv 2026, preprint

arXiv

Membership Inference Attacks Against Video Large Language Models

Wei Song, Yuxin Cao, Ziqi Ding, Yi Liu, Gelei Deng, Yuekang Li

SiMLA 2026, workshop

arXiv

Memorization in Deep Learning: A Survey

Jiaheng Wei, Yanjun Zhang, Leo Yu Zhang, Ming Ding, Chao Chen, Kok-Leong Ong, Jun Zhang, Yang Xiang

ACM CSUR 2026, journal

MIRAGE: Context-Aware Prompt Injection against Mobile GUI Agents via User-Generated Content

Ruoqi Guo, Yi Liu, Gelei Deng, Yiheng Xiong, Yuekang Li, Ying Zhang, Leo Yu Zhang, Lida Zhao, Ji Jie, Yuxiao Lu

arXiv 2026, preprint

arXiv

Nasty Adversarial Training: A Probability Sparsity Perspective for Robustness Enhancement

Yuhang Zhou, Zhongyun Hua, Zhaoquan Gu, Keke Tang, Rushi Lan, Yushu Zhang, Qing Liao, Leo Yu Zhang

ICLR 2026, conference

Link

NgCaptcha: A CAPTCHA Bridging the Past and the Future

Ziqi Ding, Shangzhi Xu, Wei Song, Yuekang Li

WWW (Demo) 2026, conference

ObliviGate: Toward Architecture-Oblivious Privacy-Preserving Inference for Malicious Security

Nianyun Song, Fuyi Wang, Rongfang Bie, Yu Guo, Leo Yu Zhang, Xiaohua Jia

IEEE TSC 2026, journal

Overeager Coding Agents: Measuring Out-of-Scope Actions on Benign Tasks

Yubin Qu, Ying Zhang, Yanjun Zhang, Gelei Deng, Yuekang Li, Leo Yu Zhang, Yi Liu

arXiv 2026, preprint

arXiv

Persistent Backdoor Attacks in Class-Incremental Learning via Structural Invariant Anchoring

Junhuang Huang, Linshan Hou, Jianting Ning, Yanjun Zhang, Zhongyun Hua, Leo Yu Zhang

ICML 2026, conference

Link

PGRM: Positive-unlabeled enhanced recommendation model based on generative adversarial network

Jiangzhou Deng, Huilin Jin, Zhiqiang Zhang, Jianmei Ye, Yong Wang, Leo Yu Zhang, Kobiljon Kh. Khushvakhtzoda

Pattern Recognition 2026, journal

Poisoning the Pixels: Revisiting Backdoor Attacks on Semantic Segmentation

Guangsheng Zhang, Huan Tian, Leo Yu Zhang, Tianqing Zhu, Ming Ding, Wanlei Zhou, Bo Liu

arXiv 2026, preprint

arXiv

Poisoning-based Link Inference Attacks Against Federated Graph Neural Networks

Guizhen Yang, Yanjun Zhang, Leo Yu Zhang, Mengmeng Ge, Shang Gao

PETS 2026, journal

Privacy-Preserving and Fair Training for Federated GNN

Jiaqiang Chen, He Zhang, Xiaoning Liu, Xun Yi

Journal of Cybersecurity and Privacy 2026, journal

Privacy-Preserving Automated Deep Learning for Secure Inference Service

Fuyi Wang, Jinzhi Ouyang, Leo Yu Zhang, Lei Pan, Shengshan Hu, Xiaoning Liu, Robin Doss

IEEE TDSC 2026, journal

PROTheft: A Projector-Based Model Extraction Attack in the Physical World

Xinjing Liu, Yilong Yang, Taifeng Liu, Hao Yang, Leo Yu Zhang, Yanjun Zhang, Yang Liu, Zhuo Ma

IEEE TIFS 2026, journal

RamFuzz: LLM-Guided Greybox Fuzzing for Spatial Memory Corruption via Valid Range Violation

Shangzhi Xu, Wei Song, Yuekang Li, Nan Sun, Muhammad Ejaz Ahmed, Willy Susilo, Benjamin Turnbull, Xiao Cheng, Siqi Ma

ASE 2026, conference

Resistive Memory based Efficient Machine Unlearning and Continual Learning

Ning Lin, Jichang Yang, Yangu He, Zijian Ye, Kwunhang Wong, Xinyuan Zhang, Songqi Wang, Yi Li, Kemi Xu, Leo Yu Zhang, Xiaoming Chen, Dashan Shang, Han Wang, Xiaojuan Qi, Zhongrui Wang

arXiv 2026, preprint

arXiv

Rethinking Complexity Metrics for LLM-Integrated Applications: Beyond Source Code

Zihao Xu, Yuekang Li, Gelei Deng, Yi Liu, Zhenchang Xing

arXiv 2026, preprint

arXiv

Robust CAPTCHA Using Audio Illusions in the Era of Large Language Models: from Evaluation to Advances

Ziqi Ding, Yunfeng Wan, Wei Song, Yi Liu, Gelei Deng, Nan Sun, Huadong Mo, Jingling Xue, Shidong Pan, Yuekang Li

arXiv 2026, preprint

arXiv

Round-Optimal Threshold Blind Signature from Lattices

Haoqi Zhang, Qinyi Li, Leo Yu Zhang, Hui Tian

ACISP 2026, conference

SAF: An AI-Agent-Ready and Browser-Accessible Static Analysis Framework for LLVM IR

Yuekang Li, Wei Li, Wei Song, Yi Liu, Gelei Deng

ASE 2026, conference

Scrutinising Parametric Distance Verification in Unlearning: A Coupling Perspective

Jingming Dai, Lulu Xue, Jintian Ji, Yanjun Zhang, Shengshan Hu, Leo Yu Zhang

ACISP 2026, conference

SNARE: Adaptive Scenario Synthesis for Eliciting Overeager Behavior in Coding Agents

Yubin Qu, Yi Liu, Gelei Deng, Yanjun Zhang, Yuekang Li, Ying Zhang, Leo Yu Zhang

arXiv 2026, preprint

arXiv

SPOLRE: Semantic Preserving Object Layout Reconstruction for Image Captioning System Testing

Yi Liu, Guanyu Wang, Xinyi Zheng, Gelei Deng, Kailong Wang, Yang Liu, Haoyu Wang

ACM TOSEM 2026, journal

STEAMROLLER: A Multi-Agent System for Inclusive Automatic Speech Recognition for People Who Stutter

Ziqi Xu, Yi Liu, Yuekang Li, Ling Shi, Kailong Wang, Yongxin Zhao

AAAI 2026, conference

Supply-Chain Poisoning Attacks Against LLM Coding Agent Skill Ecosystems

Yubin Qu, Yi Liu, Tongcheng Geng, Gelei Deng, Yuekang Li, Leo Yu Zhang, Ying Zhang, Lei Ma

arXiv 2026, preprint

arXiv

SWE-Skills-Bench: Do Agent Skills Actually Help in Real-World Software Engineering?

Tingxu Han, Yi Zhang, Wei Song, Chunrong Fang, Zhenyu Chen, Youcheng Sun, Lijie Hu

arXiv 2026, preprint

arXiv

Towards Reliable Forgetting: A Survey on Machine Unlearning Verification

Lulu Xue, Shengshan Hu, Wei Lu, Yan Shen, Dongxu Li, Peijin Guo, Ziqi Zhou, Minghui Li, Yanjun Zhang, Leo Yu Zhang

ACM CSUR 2026, journal

Train in Vain: Functionality-Preserving Poisoning to Prevent Unauthorized Use of Code Datasets

Yuan Xiao, Yuchen Chen, Jiaming Wang, Wei Song, Jun Sun, Shiqing Ma, Yanzhou Mu, Juan Zhai, Chunrong Fang, Jin Song Dong, Zhenyu Chen

ACL Findings 2026, conference

Transferable Backdoor Attacks for Code Models via Sharpness-Aware Adversarial Perturbation

Shuyu Chang, Haiping Huang, Yanjun Zhang, Yujin Huang, Fu Xiao, Leo Yu Zhang

AAAI 2026, conference

Uncovering Logit Suppression Vulnerabilities in LLM Safety Alignment

Yuxi Li, Yi Liu, Yuekang Li, Ling Shi, Gelei Deng, Shengquan Chen, Kailong Wang

ICPR 2026, conference

Universal Cross-Prompt Adversarial Attacks on Promptable Concept Segmentation

Ziqi Zhou, Yifan Hu, Yufei Song, Haowen Jiang, Xianlong Wang, Shengshan Hu, Dezhong Yao, Leo Yu Zhang

NeurIPS 2026, conference

arXiv

UnlearnShield: Shielding Forgotten Privacy against Unlearning Inversion

Lulu Xue, Shengshan Hu, Wei Lu, Ziqi Zhou, Yufei Song, Jianhong Cheng, Minghui Li, Yanjun Zhang, Leo Yu Zhang

arXiv 2026, preprint

arXiv

VeDL: Ensuring Verifiability for Privacy-Preserving Decentralized Learning

Xinrui Liu, Zhongyun Hua, Mingyang Song, Yifeng Zheng, Leo Yu Zhang, Qing Liao

IEEE TDSC 2026, journal

What Makes a Good LLM Agent for Real-world Penetration Testing?

Gelei Deng, Yi Liu, Yuekang Li, Ruozhao Yang, Xiaofei Xie, Jie Zhang, Han Qiu, Tianwei Zhang

arXiv 2026, preprint

arXiv

202581

BadRobot: Jailbreaking Embodied LLM Agents in the Physical World

Hangtao Zhang, Chenyu Zhu, Xianlong Wang, Ziqi Zhou, Changgan Yin, Minghui Li, Lulu Xue, Yichen Wang, Shengshan Hu, Aishan Liu, Peijin Guo, Leo Yu Zhang

ICLR 2025, conference

Link

BiMark: Unbiased Multilayer Watermarking for Large Language Models

Xiaoyan Feng, He Zhang, Yanjun Zhang, Leo Yu Zhang, Shirui Pan

ICML 2025, conference

arXiv

Extracting Private Training Data in Federated Learning From Clients

Jiaheng Wei, Yanjun Zhang, Leo Yu Zhang, Chao Chen, Shirui Pan, Kok-Leong Ong, Jun Zhang, Yang Xiang

IEEE TIFS 2025, journal

Not All Edges are Equally Robust: Evaluating the Robustness of Ranking-Based Federated Learning

Zirui Gong, Yanjun Zhang, Leo Yu Zhang, Zhaoxi Zhang, Yong Xiang, Shirui Pan

IEEE S&P 2025, conference

Oedipus: LLM-Enhanced Reasoning CAPTCHA Solver

Gelei Deng, Haoran Ou, Yi Liu, Jie Zhang, Tianwei Zhang, Yang Liu

CCS 2025, conference

ViDToken: A Video-Transformer-Based Latent Token Defense for Adversarial Video Detection

Wei Song, Zhenchang Xing, Liming Zhu, Yulei Sui, Jingling Xue

RAID 2025, conference

A graph representation framework for encrypted network traffic classification

Zulu Okonkwo, Ernest Foo, Zhe Hou, Qinyi Li, Zahra Jadidi

Computers & Security 2025, journal

A Methodology for Replicating Historical Exploits on EVM-Compatible Blockchains

Zhiyang Chen, Phillip Kemper, Yi Liu, Jan Gorzny, Diego Siqueira, Yuekang Li, Donato Pellegrino, Martin Derka

WETSEB 2025, conference

A Rusty Link in the AI Supply Chain: Detecting Evil Configurations in Model Repositories

Ziqi Ding, Qian Fu, Junchen Ding, Gelei Deng, Yi Liu, Yuekang Li

IEEE S&P 2025, conference

AdvEDM: Fine-grained Adversarial Attack against VLM-based Embodied Agents

Yichen Wang, Hangtao Zhang, Hewen Pan, Ziqi Zhou, Xianlong Wang, Peijin Guo, Lulu Xue, Shengshan Hu, Minghui Li, Leo Yu Zhang

NeurIPS 2025, conference

arXiv

Adversarial Example Based Fingerprinting for Robust Copyright Protection in Split Learning

Zhangting Lin, Mingfu Xue, Kewei Chen, Wenmao Liu, Xiang Gao, Leo Yu Zhang, Jian Wang, Yushu Zhang

arXiv 2025, preprint

arXiv

ai.txt: A Domain-Specific Language for Guiding AI Interactions with the Internet

Yuekang Li, Wei Song, Bangshuo Zhu, Dong Gong, Yi Liu, Gelei Deng, Chunyang Chen, Lei Ma, Jun Sun, Toby Walsh, Jingling Xue

arXiv 2025, preprint

arXiv

An Active Authorization Control Method for Deep Reinforcement Learning Model Based on GANs and Adaptive Trigger

Mingfu Xue, Kewei Chen, Leo Yu Zhang, Yushu Zhang, Weiqiang Liu

IEEE TIFS 2025, journal

Arms Race in Deep Learning: A Survey of Backdoor Defenses and Adaptive Attacks

Xiaoxing Mo, Nan Sun, Leo Yu Zhang, Wei Luo, Shang Gao, Yong Xiang

PAKDD 2025, conference

Backdoor Attacks and Defenses in Computer Vision Domain: A Survey

Bilal Hussain Abbasi, Yanjun Zhang, Leo Yu Zhang, Shang Gao

arXiv 2025, preprint

arXiv

Boosting Deepfake Detection Generalizability via Expansive Learning and Confidence Judgement

Kuiyuan Zhang, Zeming Hou, Zhongyun Hua, Yifeng Zheng, Leo Yu Zhang

IEEE TCSVT 2025, journal

Breaking the Loop: Detecting and Mitigating Denial-of-Service Vulnerabilities in Large Language Models

Junzhe Yu, Yi Liu, Huijia Sun, Ling Shi, Yuqi Chen

arXiv 2025, preprint

arXiv

Can professional interpreters truly convey the speaker's sentiment? Exploring the potential of a computational approach

Han Xu, Jinghang Gu, Kanglong Liu, Qinyi Li

Digital Scholarship in the Humanities 2025, journal

Characterizing Cryptocurrency-Themed Malicious Browser Extensions

Guangdong Bai, Kailong Wang, Yuxi Ling, Yanjun Zhang, Zhou Yu, Haoyu Wang, Beng Chin Ooi, Jin Song Dong

CACM 2025, journal

ConSeg: Contextual Backdoor Attack Against Semantic Segmentation

Bilal Hussain Abbasi, Zirui Gong, Yanjun Zhang, Shang Gao, Antonio Robles-Kelly, Leo Yu Zhang

arXiv 2025, preprint

arXiv

Continuous Embedding Attacks via Clipped Inputs in Jailbreaking Large Language Models

Zihao Xu, Yi Liu, Gelei Deng, Kailong Wang, Yuekang Li, Ling Shi, Stjepan Picek

IEEE S&P 2025, conference

DarkHash: A Data-Free Backdoor Attack Against Deep Hashing

Ziqi Zhou, Menghao Deng, Yufei Song, Hangtao Zhang, Wei Wan, Shengshan Hu, Minghui Li, Leo Yu Zhang, Dezhong Yao

IEEE TIFS 2025, journal

Data Duplication: A Novel Multi-Purpose Attack Paradigm in Machine Unlearning

Dayong Ye, Tianqing Zhu, Jiayang Li, Kun Gao, Bo Liu, Leo Yu Zhang, Wanlei Zhou, Yang Zhang

USENIX Security 2025, conference

arXiv

Data-Free Model-Related Attacks: Unleashing the Potential of Generative AI

Dayong Ye, Tianqing Zhu, Shang Wang, Bo Liu, Leo Yu Zhang, Wanlei Zhou, Yang Zhang

USENIX Security 2025, conference

arXiv

Deep Q-Learning from Statistical Demonstrations for Efficient Battery Storage Energy Arbitrage

Chois Zhi Cai, Hui Tian, Leo Yu Zhang, Lee Weng

PDCAT 2025, conference

Detecting and Corrupting Convolution-based Unlearnable Examples

Minghui Li, Xianlong Wang, Zhifei Yu, Shengshan Hu, Ziqi Zhou, Longling Zhang, Leo Yu Zhang

AAAI 2025, conference

Detecting Essence Code Clones via Information Theoretic Analysis

Lida Zhao, Shihan Dou, Yutao Hu, Yueming Wu, Jiahui Wu, Chengwei Liu, Lyuye Zhang, Yi Liu, Jun Sun, Xuanjing Huang, Yang Liu

arXiv 2025, preprint

arXiv

Detecting LLM Fact-conflicting Hallucinations Enhanced by Temporal-logic-based Reasoning

Ningke Li, Yahui Song, Kailong Wang, Yuekang Li, Ling Shi, Yi Liu, Haoyu Wang

arXiv 2025, preprint

arXiv

Differentially private recommendation algorithm based on diffusion model and Rényi similarity

Yongdong Wang, Yong Wang, Zhiqiang Zhang, Jiangzhou Deng, Jianmei Ye, Leo Yu Zhang

Information Sciences 2025, journal

Distributed Differentially Private Matrix Factorization for Implicit Data via Secure Aggregation

Chenhong Luo, Yong Wang, Yanjun Zhang, Leo Yu Zhang

IEEE TC 2025, journal

Dynamic Graph Unlearning: A General and Efficient Post-Processing Method via Gradient Transformation

He Zhang, Bang Wu, Xiangwen Yang, Xingliang Yuan, Xiaoning Liu, Xun Yi

WWW 2025, conference

Exploring Gradient-Guided Masked Language Model to Detect Textual Adversarial Attacks

Xiaomei Zhang, Zhaoxi Zhang, Yanjun Zhang, Xufei Zheng, Leo Yu Zhang, Shengshan Hu, Shirui Pan

arXiv 2025, preprint

arXiv

FixGuard: Repairing Backdoored Models via Class-Wise Trigger Recovery and Unlearning

Linshan Hou, Zhongyun Hua, Wei Luo, Leo Yu Zhang

IEEE SPL 2025, journal

FLAME: Flexible and Lightweight Biometric Authentication Scheme in Malicious Environments

Fuyi Wang, Fangyuan Sun, Mingyuan Fan, Jianying Zhou, Jin Ma, Chao Chen, Jiangang Shu, Leo Yu Zhang

ACSAC 2025, conference

FLARE: Toward Universal Dataset Purification Against Backdoor Attacks

Linshan Hou, Wei Luo, Zhongyun Hua, Songhua Chen, Leo Yu Zhang, Yiming Li

IEEE TIFS 2025, journal

HandID: Unobtrusive Gesture-independent User Authentication on Smartphones Using Vibration-based Hand Biometrics

Yuezhong Wu, Wei Song, Chun Tung Chou, Jiankun Hu, Wen Hu

IMWUT 2025, journal

IllusionCAPTCHA: A CAPTCHA based on Visual Illusion

Ziqi Ding, Gelei Deng, Yi Liu, Junchen Ding, Jieshan Chen, Yulei Sui, Yuekang Li

WWW 2025, conference

Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization

Yechao Zhang, Yingzhe Xu, Junyu Shi, Leo Yu Zhang, Shengshan Hu, Minghui Li, Yanjun Zhang

AAAI 2025, conference

Indiana Jones: There Are Always Some Useful Ancient Relics

Junchen Ding, Jiahao Zhang, Yi Liu, Ziqi Ding, Gelei Deng, Yuekang Li

arXiv 2025, preprint

arXiv

JC-Finder: Detecting Java Clone-based Third-Party Library by Class-level Tree Analysis

Lida Zhao, Chaofan Li, Yueming Wu, Lyuye Zhang, Jiahui Wu, Chengwei Liu, Sen Chen, Yutao Hu, Zhengzi Xu, Yi Liu, Jingquan Ge, Jun Sun, Yang Liu

arXiv 2025, preprint

arXiv

LaTCoder: Converting Webpage Design to Code with Layout-as-Thought

Yi Gui, Zhen Li, Zhongyi Zhang, Guohao Wang, Tianpeng Lv, Gaoyang Jiang, Yi Liu, Dongping Chen, Yao Wan, Hongyu Zhang, Wenbin Jiang, Xuanhua Shi, Hai Jin

KDD 2025, conference

LTL-based runtime verification framework for cyber-attack anomaly prediction in cyber-physical systems

Ayodeji James Akande, Zhe Hou, Ernest Foo, Qinyi Li

Computers & Security 2025, journal

MarkErase: Defeating Entangled Watermarks in Model Extraction Attacks

Teng Fei, Xinjing Liu, Yanjun Zhang, Haizhuan Yuan, Tianqing Zhu, Leo Yu Zhang

PAKDD 2025, conference

MARS: A Malignity-Aware Backdoor Defense in Federated Learning

Wei Wan, Yuxuan Ning, Zhicong Huang, Cheng Hong, Shengshan Hu, Ziqi Zhou, Yechao Zhang, Tianqing Zhu, Wanlei Zhou, Leo Yu Zhang

NeurIPS 2025, conference

arXiv

MedShield: A Fast Cryptographic Framework for Private Multi-Service Medical Diagnosis

Fuyi Wang, Jinzhi Ouyang, Xiaoning Liu, Lei Pan, Leo Yu Zhang, Robin Doss

IEEE TSC 2025, journal

MiniScope: Automated UI Exploration and Privacy Inconsistency Detection of MiniApps via Two-phase Iterative Hybrid Analysis

Shenao Wang, Yuekang Li, Kailong Wang, Yi Liu, Hui Li, Yang Liu, Haoyu Wang

ACM TOSEM 2025, journal

Mission: Impossible - Image-Based Geolocation with Large Vision Language Models

Yi Liu, Gelei Deng, Junchen Ding, Yuekang Li, Tianwei Zhang, Weisong Sun, Yaowen Zheng, Jingquan Ge, Yang Liu

PETS 2025, journal

MMGIA: Gradient Inversion Attack Against Multimodal Federated Learning via Intermodal Correlation

Lele Zheng, Yang Cao, Leo Yu Zhang, Wei Wang, Yulong Shen, Xiaochun Cao

IJCAI 2025, conference

Multimodal Chaotification Model With Hardware Implementation

Zhiqiang Zhang, Hong Zhu, Pengxin Ban, Yong Wang, Leo Yu Zhang

IEEE TIE 2025, journal

MVSF-AB: accurate antibody-antigen binding affinity prediction via multi-view sequence feature learning

Minghui Li, Yao Shi, Shengqing Hu, Shengshan Hu, Peijin Guo, Wei Wan, Leo Yu Zhang, Shirui Pan, Jizhou Li, Lichao Sun, Xiaoli Lan

Bioinformatics 2025, journal

NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors

Ziqi Zhou, Bowen Li, Yufei Song, Zhifei Yu, Shengshan Hu, Wei Wan, Leo Yu Zhang, Dezhong Yao, Hai Jin

AAAI 2025, conference

On Advances of Anonymous Credentials - From Traditional to Post-Quantum

Madusha Chathurangi, Qinyi Li, Ernest Foo

Cryptography 2025, journal

ORFuzz: Fuzzing the "Other Side" of LLM Safety - Testing Over-Refusal

Haonan Zhang, Dongxia Wang, Yi Liu, Kexin Chen, Jiashui Wang, Xinlei Ying, Long Liu, Wenhai Wang

ASE 2025, conference

PB-UAP: Hybride Universal Adversarial Attack for Image Segmentation

Yufei Song, Ziqi Zhou, Minghui Li, Xianlong Wang, Hangtao Zhang, Menghao Deng, Wei Wan, Shengshan Hu, Leo Yu Zhang

ICASSP 2025, conference

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach

Huazi Pan, Yanjun Zhang, Leo Yu Zhang, Scott D. Adams, Abbas Z. Kouzani, Suiyang Khoo

IJCAI 2025, conference

Poisoning Prompt-Guided Sampling in Video Large Language Models

Yuxin Cao, Wei Song, Jingling Xue, Jin Song Dong

arXiv 2025, preprint

arXiv

PP-DACMR: A Privacy-Preserving Deep Adversarial Hashing for Cross-Modal Retrieval

Jinzhi Ouyang, Fuyi Wang, Ye Luo, Jianting Ning, Leo Yu Zhang

IWQoS 2025, conference

Pre-training CLIP against Data Poisoning with Optimal Transport-based Matching and Alignment

Tong Zhang, Kuofeng Gao, Jiawang Bai, Leo Yu Zhang, Xin Yin, Zonghui Wang, Shouling Ji, Wenzhi Chen

EMNLP 2025, conference

Predicate-Private Asymmetric Searchable Encryption for Conjunctions from Lattices

Qinyi Li, Xavier Boyen

ESORICS 2025, conference

PrivGNN: High-Performance Secure Inference for Cryptographic Graph Neural Networks

Fuyi Wang, Zekai Chen, Mingyuan Fan, Jianying Zhou, Lei Pan, Leo Yu Zhang

FC 2025, conference

RAGLeak: Membership Inference Attacks on RAG-Based Large Language Models

Kaiyue Feng, Guangsheng Zhang, Huan Tian, Heng Xu, Yanjun Zhang, Tianqing Zhu, Ming Ding, Bo Liu

ACISP 2025, conference

SAVANT: Vulnerability Detection in Application Dependencies through Semantic-Guided Reachability Analysis

Lingxiang Wang, Quanzhi Fu, Wenjia Song, Gelei Deng, Yi Liu, Dan Williams, Ying Zhang

arXiv 2025, preprint

arXiv

Scale Margin Loss for Object Detection

Yuxuan Cheng, Yanjun Zhang, Leo Yu Zhang, Donglong Chen, Yuming Fang

KSEM 2025, conference

Secure Transfer Learning: Training Clean Model Against Backdoor in Pre-Trained Encoder and Downstream Dataset

Yechao Zhang, Yuxuan Zhou, Tianyu Li, Minghui Li, Shengshan Hu, Wei Luo, Leo Yu Zhang

IEEE S&P 2025, conference

Secure Transfer Learning: Training Clean Models Against Backdoor in (Both) Pre-trained Encoders and Downstream Datasets

Yechao Zhang, Yuxuan Zhou, Tianyu Li, Minghui Li, Shengshan Hu, Wei Luo, Leo Yu Zhang

arXiv 2025, preprint

arXiv

SegTrans: Transferable Adversarial Examples for Segmentation Models

Yufei Song, Ziqi Zhou, Qi Lu, Hangtao Zhang, Yifan Hu, Lulu Xue, Shengshan Hu, Minghui Li, Leo Yu Zhang

arXiv 2025, preprint

arXiv

sf SEBioID: Secure and Efficient Biometric Identification with Two-Party Computation

Fuyi Wang, Jinzhi Ouyang, Leo Yu Zhang, Lei Pan, Shengshan Hu, Robin Doss, Jianying Zhou

ACNS 2025, conference

Source Code Summarization in the Era of Large Language Models

Weisong Sun, Yun Miao, Yuekang Li, Hongyu Zhang, Chunrong Fang, Yi Liu, Gelei Deng, Yang Liu, Zhenyu Chen

ICSE 2025, conference

Sticking to the Mean: Detecting Sticky Tokens in Text Embedding Models

Kexin Chen, Dongxia Wang, Yi Liu, Haonan Zhang, Wenhai Wang

ACL 2025, conference

SynerGuard: A Robust Framework for Point Cloud Classification via Local Geometry and Spatial Topology

Haonan Zhong, Wei Song, Maurice Pagnucco, Yang Song

ICRA 2025, conference

Taxonomy-guided routing in capsule network for hierarchical image classification

Khondaker Tasrif Noor, Wei Luo, Antonio Robles-Kelly, Leo Yu Zhang, Mohamed Reda Bouadjenek

Knowledge-Based Systems 2025, journal

TEAKEX: TESLA-Authenticated Group Key Exchange

Qinyi Li, Lise Millerjord, Colin Boyd

ACISP 2025, conference

TED++: Submanifold-Aware Backdoor Detection via Layerwise Tubular-Neighbourhood Screening

Nam Le, Leo Yu Zhang, Kewen Liao, Shirui Pan, Wei Luo

ICDM 2025, conference

TED-LaST: Towards Robust Backdoor Defense Against Adaptive Attacks

Xiaoxing Mo, Yuxuan Cheng, Nan Sun, Leo Yu Zhang, Wei Luo, Shang Gao

arXiv 2025, preprint

arXiv

Test-Time Backdoor Detection for Object Detection Models

Hangtao Zhang, Yichen Wang, Shihui Yan, Chenyu Zhu, Ziqi Zhou, Linshan Hou, Shengshan Hu, Minghui Li, Yanjun Zhang, Leo Yu Zhang

CVPR 2025, conference

TombRaider: Entering the Vault of History to Jailbreak Large Language Models

Junchen Ding, Jiahao Zhang, Yi Liu, Ziqi Ding, Gelei Deng, Yuekang Li

EMNLP 2025, conference

Towards Real-World Deepfake Detection: A Diverse In-the-wild Dataset of Forgery Faces

Junyu Shi, Minghui Li, Junguo Zuo, Zhifei Yu, Yipeng Lin, Shengshan Hu, Ziqi Zhou, Yechao Zhang, Wei Wan, Yinzhe Xu, Leo Yu Zhang

arXiv 2025, preprint

arXiv

Towards Reliable Forgetting: A Survey on Machine Unlearning Verification, Challenges, and Future Directions

Lulu Xue, Shengshan Hu, Wei Lu, Yan Shen, Dongxu Li, Peijin Guo, Ziqi Zhou, Minghui Li, Yanjun Zhang, Leo Yu Zhang

arXiv 2025, preprint

arXiv

Uncertainty-Aware Metabolic Stability Prediction with Dual-View Contrastive Learning

Peijin Guo, Minghui Li, Hewen Pan, Bowen Chen, Yang Wu, Zikang Guo, Leo Yu Zhang, Shengshan Hu, Shengqing Hu

ECML/PKDD 2025, conference

Vanish into Thin Air: Cross-prompt Universal Adversarial Attacks for SAM2

Ziqi Zhou, Yifan Hu, Yufei Song, Zijing Li, Shengshan Hu, Leo Yu Zhang, Dezhong Yao, Long Zheng, Hai Jin

NeurIPS 2025, conference

arXiv

When Better Features Mean Greater Risks: The Performance-Privacy Trade-Off in Contrastive Learning

Ruining Sun, Hongsheng Hu, Wei Luo, Zhaoxi Zhang, Yanjun Zhang, Haizhuan Yuan, Leo Yu Zhang

AsiaCCS 2025, conference

202485

Bounded and Unbiased Composite Differential Privacy

Kai Zhang, Yanjun Zhang, Ruoxi Sun, Pei-Wei Tsai, Muneeb Ul Hassan, Xin Yuan, Minhui Xue, Jinjun Chen

IEEE S&P 2024, conference

PentestGPT: Evaluating and Harnessing Large Language Models for Automated Penetration Testing

Gelei Deng, Yi Liu, Víctor Mayoral Vilches, Peng Liu, Yuekang Li, Yuan Xu, Martin Pinzger, Stefan Rass, Tianwei Zhang, Yang Liu

USENIX Security 2024, conference

Link

Public-Key Authenticated Encryption with Keyword Search Made Easy

Qinyi Li, Xavier Boyen

IACR CiC 2024, journal

SecVID: Correction-based Defense Against Adversarial Video Attacks via Discretization-Enhanced Video Compressive Sensing

Wei Song, Cong Cong, Haonan Zhong, Jingling Xue

USENIX Security 2024, conference

Trustworthy Graph Neural Networks: Aspects, Methods, and Trends

He Zhang, Bang Wu, Xingliang Yuan, Shirui Pan, Hanghang Tong, Jian Pei

Proc. IEEE 2024, journal

Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks

He Zhang, Xingliang Yuan, Shirui Pan

ICDE 2024, conference

A Comprehensive Study of Jailbreak Attack versus Defense for Large Language Models

Zihao Xu, Yi Liu, Gelei Deng, Yuekang Li, Stjepan Picek

ACL 2024, conference

A consistency-aware deep capsule network for hierarchical multi-label image classification

Khondaker Tasrif Noor, Antonio Robles-Kelly, Leo Yu Zhang, Mohamed Reda Bouadjenek, Wei Luo

Neurocomputing 2024, journal

A Cross-Language Investigation into Jailbreak Attacks in Large Language Models

Jie Li, Yi Liu, Chongyang Liu, Ling Shi, Xiaoning Ren, Yaowen Zheng, Yang Liu, Yinxing Xue

arXiv 2024, preprint

arXiv

A Hitchhiker's Guide to Jailbreaking ChatGPT via Prompt Engineering

Yi Liu, Gelei Deng, Zhengzi Xu, Yuekang Li, Yaowen Zheng, Ying Zhang, Lida Zhao, Tianwei Zhang, Kailong Wang

FSE 2024, workshop

A Reinforcement Learning-Based ELF Adversarial Malicious Sample Generation Method

Mingfu Xue, Jinlong Fu, Zhiyuan Li, Shifeng Ni, Heyi Wu, Leo Yu Zhang, Yushu Zhang, Weiqiang Liu

IEEE JETCAS 2024, journal

AgrAmplifier: Defending Federated Learning Against Poisoning Attacks Through Local Update Amplification

Zirui Gong, Liyue Shen, Yanjun Zhang, Leo Yu Zhang, Jingwei Wang, Guangdong Bai, Yong Xiang

IEEE TIFS 2024, journal

Algorithmic Fairness: A Tolerance Perspective

Renqiang Luo, Tao Tang, Feng Xia, Jiaying Liu, Chengpei Xu, Leo Yu Zhang, Wei Xiang, Chengqi Zhang

arXiv 2024, preprint

arXiv

An Explainable Intellectual Property Protection Method for Deep Neural Networks Based on Intrinsic Features

Mingfu Xue, Xin Wang, Yinghao Wu, Shifeng Ni, Leo Yu Zhang, Yushu Zhang, Weiqiang Liu

IEEE TAI 2024, journal

An Imperceptible and Owner-unique Watermarking Method for Graph Neural Networks

Linji Zhang, Mingfu Xue, Leo Yu Zhang, Yushu Zhang, Weiqiang Liu

ACM TURC 2024, conference

Are Your Requests Your True Needs? Checking Excessive Data Collection in VPA App

Fuman Xie, Chuan Yan, Mark Huasong Meng, Shao-Ming Teng, Yanjun Zhang, Guangdong Bai

ICSE 2024, conference

Automatic Code Summarization via ChatGPT: How Far Are We?

Weisong Sun, Chunrong Fang, Yudu You, Yun Miao, Yi Liu, Yuekang Li, Gelei Deng, Shenghan Huang, Yuchen Chen, Quanjun Zhang, Hanwei Qian, Yang Liu, Zhenyu Chen

ICSE 2024, conference

arXiv

Backdoor Attacks and Generative Model Fairness: Current Trends and Future Research Directions

Ryan Holland, Shantanu Pal, Lei Pan, Leo Yu Zhang

COMSNETS 2024, conference

BadRobot: Jailbreaking LLM-based Embodied AI in the Physical World

Hangtao Zhang, Chenyu Zhu, Xianlong Wang, Ziqi Zhou, Shengshan Hu, Leo Yu Zhang

arXiv 2024, preprint

arXiv

Blockchain-based efficient verifiable outsourced attribute-based encryption in cloud

Zesen Hou, Jianting Ning, Xinyi Huang, Shengmin Xu, Leo Yu Zhang

Computer Standards & Interfaces 2024, journal

Can Distillation Mitigate Backdoor Attacks in Pre-trained Encoders?

Tingxu Han, Wei Song, Weisong Sun, Ziqi Ding, Yebo Feng, Chunrong Fang, Jun Li, Hanwei Qian, Zhenyu Chen, Yang Liu

arXiv 2024, preprint

arXiv

CAvatar: Real-Time Human Activity Mesh Reconstruction via Tactile Carpets

Wenqiang Chen, Yexin Hu, Wei Song, Yingcheng Liu, Antonio Torralba, Wojciech Matusik

IMWUT 2024, journal

Characterizing and Evaluating the Reliability of LLMs against Jailbreak Attacks

Kexin Chen, Yi Liu, Dongxia Wang, Jiaying Chen, Wenhai Wang

arXiv 2024, preprint

arXiv

Conditional Backdoor Attack via JPEG Compression

Qiuyu Duan, Zhongyun Hua, Qing Liao, Yushu Zhang, Leo Yu Zhang

AAAI 2024, conference

CryptGraph: An Efficient Privacy-Enhancing Solution for Accurate Shortest Path Retrieval in Cloud Environments

Fuyi Wang, Zekai Chen, Lei Pan, Leo Yu Zhang, Jianying Zhou

AsiaCCS 2024, conference

DarkFed: A Data-Free Backdoor Attack in Federated Learning

Minghui Li, Wei Wan, Yuxuan Ning, Shengshan Hu, Lulu Xue, Leo Yu Zhang, Yichen Wang

IJCAI 2024, conference

arXiv

DarkSAM: Fooling Segment Anything Model to Segment Nothing

Ziqi Zhou, Yufei Song, Minghui Li, Shengshan Hu, Xianlong Wang, Leo Yu Zhang, Dezhong Yao, Hai Jin

NeurIPS 2024, conference

arXiv

Deceptive Waves: Embedding Malicious Backdoors in PPG Authentication

Zeming Yao, Lin Li, Leo Yu Zhang, Fusen Guo, Chao Chen, Jun Zhang

WISE 2024, conference

Deferred Poisoning: Making the Model More Vulnerable via Hessian Singularization

Yuhao He, Jinyu Tian, Xianwei Zheng, Li Dong, Yuanman Li, Leo Yu Zhang, Jiantao Zhou

arXiv 2024, preprint

arXiv

Depriving the Survival Space of Adversaries Against Poisoned Gradients in Federated Learning

Jianrong Lu, Shengshan Hu, Wei Wan, Minghui Li, Leo Yu Zhang, Lulu Xue, Hai Jin

IEEE TIFS 2024, journal

DERD: Data-free Adversarial Robustness Distillation through Self-adversarial Teacher Group

Yuhang Zhou, Yushu Zhang, Leo Yu Zhang, Zhongyun Hua

ACM MM 2024, conference

Detector Collapse: Backdooring Object Detection to Catastrophic Overload or Blindness

Hangtao Zhang, Shengshan Hu, Yichen Wang, Leo Yu Zhang, Ziqi Zhou, Xianlong Wang, Yanjun Zhang, Chao Chen

arXiv 2024, preprint

arXiv

Detector Collapse: Backdooring Object Detection to Catastrophic Overload or Blindness in the Physical World

Hangtao Zhang, Shengshan Hu, Yichen Wang, Leo Yu Zhang, Ziqi Zhou, Xianlong Wang, Yanjun Zhang, Chao Chen

IJCAI 2024, conference

Link

Digger: Detecting Copyright Content Mis-usage in Large Language Model Training

Haodong Li, Gelei Deng, Yi Liu, Kailong Wang, Yuekang Li, Tianwei Zhang, Yang Liu, Guoai Xu, Guosheng Xu, Haoyu Wang

arXiv 2024, preprint

arXiv

DistillSeq: A Framework for Safety Alignment Testing in Large Language Models using Knowledge Distillation

Mingke Yang, Yuqi Chen, Yi Liu, Ling Shi

ISSTA 2024, conference

Drowzee: Metamorphic Testing for Fact-Conflicting Hallucination Detection in Large Language Models

Ningke Li, Yuekang Li, Yi Liu, Ling Shi, Kailong Wang, Haoyu Wang

OOPSLA 2024, journal

ECLIPSE: Expunging Clean-Label Indiscriminate Poisons via Sparse Diffusion Purification

Xianlong Wang, Shengshan Hu, Yechao Zhang, Ziqi Zhou, Leo Yu Zhang, Peng Xu, Wei Wan, Hai Jin

ESORICS 2024, conference

Efficient Detection of Toxic Prompts in Large Language Models

Yi Liu, Junzhe Yu, Huijia Sun, Ling Shi, Gelei Deng, Yuqi Chen, Yang Liu

ASE 2024, conference

Evasion Attack and Defense on Machine Learning Models in Cyber-Physical Systems: A Survey

Shunyao Wang, Ryan K. L. Ko, Guangdong Bai, Naipeng Dong, Taejun Choi, Yanjun Zhang

IEEE COMST 2024, journal

FairCMS: Cloud Media Sharing With Fair Copyright Protection

Xiangli Xiao, Yushu Zhang, Leo Yu Zhang, Zhongyun Hua, Zhe Liu, Jiwu Huang

IEEE TCSS 2024, journal

FLARE: Towards Universal Dataset Purification against Backdoor Attacks

Linshan Hou, Wei Luo, Zhongyun Hua, Songhua Chen, Leo Yu Zhang, Yiming Li

arXiv 2024, preprint

arXiv

Glitch Tokens in Large Language Models: Categorization Taxonomy and Effective Detection

Yuxi Li, Yi Liu, Gelei Deng, Ying Zhang, Wenjia Song, Ling Shi, Kailong Wang, Yuekang Li, Yang Liu, Haoyu Wang

FSE 2024, journal

GOODAT: Towards Test-Time Graph Out-of-Distribution Detection

Luzhi Wang, Dongxiao He, He Zhang, Yixin Liu, Wenjie Wang, Shirui Pan, Di Jin, Tat-Seng Chua

AAAI 2024, conference

Gradient Transformation: Towards Efficient and Model-Agnostic Unlearning for Dynamic Graph Neural Networks

He Zhang, Bang Wu, Xiangwen Yang, Xingliang Yuan, Chengqi Zhang, Shirui Pan

arXiv 2024, preprint

arXiv

GraphGuard: Detecting and Counteracting Training Data Misuse in Graph Neural Networks

Bang Wu, He Zhang, Xiangwen Yang, Shuo Wang, Minhui Xue, Shirui Pan, Xingliang Yuan

NDSS 2024, conference

arXiv

Groot: Adversarial Testing for Generative Text-to-Image Models with Tree-based Semantic Transformation

Yi Liu, Guowei Yang, Gelei Deng, Feiyue Chen, Yuqi Chen, Ling Shi, Tianwei Zhang, Yang Liu

arXiv 2024, preprint

arXiv

Guest Editorial AI-Empowered Internet of Things for Data-Driven Psychophysiological Computing and Patient Monitoring

Kai Fang, Wei Wang, Marcin Wozniak, Qingchen Zhang, Keping Yu, Junxin Chen, Amr Tolba, Leo Yu Zhang

IEEE JBHI 2024, journal

HalluVault: A Novel Logic Programming-aided Metamorphic Testing Framework for Detecting Fact-Conflicting Hallucinations in Large Language Models

Ningke Li, Yuekang Li, Yi Liu, Ling Shi, Kailong Wang, Haoyu Wang

arXiv 2024, preprint

arXiv

IBD-PSC: Input-level Backdoor Detection via Parameter-oriented Scaling Consistency

Linshan Hou, Ruili Feng, Zhongyun Hua, Wei Luo, Leo Yu Zhang, Yiming Li

ICML 2024, conference

arXiv

Image-Based Geolocation Using Large Vision-Language Models

Yi Liu, Junchen Ding, Gelei Deng, Yuekang Li, Tianwei Zhang, Weisong Sun, Yaowen Zheng, Jingquan Ge, Yang Liu

arXiv 2024, preprint

arXiv

Large Language Model Watermark Stealing With Mixed Integer Programming

Zhaoxi Zhang, Xiaomei Zhang, Yanjun Zhang, Leo Yu Zhang, Chao Chen, Shengshan Hu, Asif Gill, Shirui Pan

arXiv 2024, preprint

arXiv

LLM Jailbreak Attack versus Defense Techniques - A Comprehensive Study

Zihao Xu, Yi Liu, Gelei Deng, Yuekang Li, Stjepan Picek

arXiv 2024, preprint

arXiv

Lockpicking LLMs: A Logit-Based Jailbreak Using Token-level Manipulation

Yuxi Li, Yi Liu, Yuekang Li, Ling Shi, Gelei Deng, Shengquan Chen, Kailong Wang

arXiv 2024, preprint

arXiv

M-to-N Backdoor Paradigm: A Multi-Trigger and Multi-Target Attack to Deep Learning Models

Linshan Hou, Zhongyun Hua, Yuhong Li, Yifeng Zheng, Leo Yu Zhang

IEEE TCSVT 2024, journal

MASTERKEY: Automated Jailbreaking of Large Language Model Chatbots

Gelei Deng, Yi Liu, Yuekang Li, Kailong Wang, Ying Zhang, Zefeng Li, Haoyu Wang, Tianwei Zhang, Yang Liu

NDSS 2024, conference

Link

Matrix factorization recommender based on adaptive Gaussian differential privacy for implicit feedback

Hanyang Liu, Yong Wang, Zhiqiang Zhang, Jiangzhou Deng, Chao Chen, Leo Yu Zhang

Information Processing & Management 2024, journal

Medusa: Unveil Memory Exhaustion DoS Vulnerabilities in Protocol Implementations

Zhengjie Du, Yuekang Li, Yaowen Zheng, Xiaohan Zhang, Cen Zhang, Yi Liu, Sheikh Mahbub Habib, Xinghua Li, Linzhang Wang, Yang Liu, Bing Mao

WWW 2024, conference

MeTMaP: Metamorphic Testing for Detecting False Vector Matching Problems in LLM Augmented Generation

Guanyu Wang, Yuekang Li, Yi Liu, Gelei Deng, Tianlin Li, Guosheng Xu, Yang Liu, Haoyu Wang, Kailong Wang

FORGE 2024, conference

MISA: Unveiling the Vulnerabilities in Split Federated Learning

Wei Wan, Yuxuan Ning, Shengshan Hu, Lulu Xue, Minghui Li, Leo Yu Zhang, Hai Jin

ICASSP 2024, conference

Multireceiver Conditional Anonymous Singcryption for IoMT Crowdsourcing

Yanping Wang, Xiaosong Zhang, Ruidong Chen, Hong-Ning Dai, Xiaofen Wang, Leo Yu Zhang, Ming Li

IEEE IoTJ 2024, journal

On the Quality of Privacy Policy Documents of Virtual Personal Assistant Applications

Chuan Yan, Fuman Xie, Mark Huasong Meng, Yanjun Zhang, Guangdong Bai

PETS 2024, journal

Pandora: Jailbreak GPTs by Retrieval Augmented Generation Poisoning

Gelei Deng, Yi Liu, Kailong Wang, Yuekang Li, Tianwei Zhang, Yang Liu

AISCC 2024, workshop

arXiv

PB-UAP: Hybrid Universal Adversarial Attack For Image Segmentation

Yufei Song, Ziqi Zhou, Minghui Li, Xianlong Wang, Menghao Deng, Wei Wan, Shengshan Hu, Leo Yu Zhang

arXiv 2024, preprint

arXiv

Play Guessing Game with LLM: Indirect Jailbreak Attack with Implicit Clues

Zhiyuan Chang, Mingyang Li, Yi Liu, Junjie Wang, Qing Wang, Yang Liu

ACL 2024, conference

PointAPA: Towards Availability Poisoning Attacks in 3D Point Clouds

Xianlong Wang, Minghui Li, Peng Xu, Wei Liu, Leo Yu Zhang, Shengshan Hu, Yanjun Zhang

ESORICS 2024, conference

PriGenX: Privacy-Preserving Query With Anonymous Access Control for Genomic Data

Yaxi Yang, Jian Weng, Yao Tong, Jia-Nan Liu, Zhenghao Wu, Leo Yu Zhang, Anjia Yang

IEEE TDSC 2024, journal

Privacy-Preserving and Fairness-Aware Federated Learning for Critical Infrastructure Protection and Resilience

Yanjun Zhang, Ruoxi Sun, Liyue Shen, Guangdong Bai, Minhui Xue, Mark Huasong Meng, Xue Li, Ryan K. L. Ko, Surya Nepal

WWW 2024, conference

Repairing Catastrophic-Neglect in Text-to-Image Diffusion Models via Attention-Guided Feature Enhancement

Zhiyuan Chang, Mingyang Li, Junjie Wang, Yi Liu, Qing Wang, Yang Liu

EMNLP 2024, conference

Research on Data-Driven Financial Risk Prediction Model Based on Cloud Computing

Qinyi Li

CIPAE 2024, conference

Reverse Backdoor Distillation: Towards Online Backdoor Attack Detection for Deep Neural Network Models

Zeming Yao, Hangtao Zhang, Yicheng Guo, Xin Tian, Wei Peng, Yi Zou, Leo Yu Zhang, Chao Chen

IEEE TDSC 2024, journal

Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks

Lulu Xue, Shengshan Hu, Ruizhi Zhao, Leo Yu Zhang, Shengqing Hu, Lichao Sun, Dezhong Yao

AAAI 2024, conference

Robust Backdoor Detection for Deep Learning via Topological Evolution Dynamics

Xiaoxing Mo, Yechao Zhang, Leo Yu Zhang, Wei Luo, Nan Sun, Shengshan Hu, Shang Gao, Yang Xiang

IEEE S&P 2024, conference

Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples

Ziqi Zhou, Minghui Li, Wei Liu, Shengshan Hu, Yechao Zhang, Wei Wan, Lulu Xue, Leo Yu Zhang, Dezhong Yao, Hai Jin

IEEE S&P 2024, conference

Self and Cross-Model Distillation for LLMs: Effective Methods for Refusal Pattern Alignment

Jie Li, Yi Liu, Chongyang Liu, Xiaoning Ren, Ling Shi, Weisong Sun, Yinxing Xue

arXiv 2024, preprint

arXiv

Semantics-aware Human-Computer Interaction Software Testing

Yi Liu

PhD thesis, Nanyang Technological University 2024, thesis

SSAT: Active Authorization Control and User's Fingerprint Tracking Framework for DNN IP Protection

Mingfu Xue, Yinghao Wu, Leo Yu Zhang, Dujuan Gu, Yushu Zhang, Weiqiang Liu

IEEE TMM 2024, journal

Stealing Watermarks of Large Language Models via Mixed Integer Programming

Zhaoxi Zhang, Xiaomei Zhang, Yanjun Zhang, Leo Yu Zhang, Chao Chen, Shengshan Hu, Asif Gill, Shirui Pan

ACSAC 2024, conference

Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation

Di Mi, Yanjun Zhang, Leo Yu Zhang, Shengshan Hu, Qi Zhong, Haizhuan Yuan, Shirui Pan

AAAI 2024, conference

Towards Threshold Anonymous Announcement With Batch Verification for Cooperative Intelligent Transport Systems

Yanping Wang, Leo Yu Zhang, Xiaosong Zhang, Xiaofen Wang, Fuyi Wang, Shengshan Hu, Robin Doss

IEEE TVT 2024, journal

Tracking the Leaker: An Encodable Watermarking Method for Dataset Intellectual Property Protection

Yifan Shang, Mingfu Xue, Leo Yu Zhang, Yushu Zhang, Weiqiang Liu

ACM TURC 2024, conference

TrojanRobot: Backdoor Attacks Against Robotic Manipulation in the Physical World

Xianlong Wang, Hewen Pan, Hangtao Zhang, Minghui Li, Shengshan Hu, Ziqi Zhou, Lulu Xue, Peijin Guo, Yichen Wang, Wei Wan, Aishan Liu, Leo Yu Zhang

arXiv 2024, preprint

arXiv

TrustMIS: Trust-Enhanced Inference Framework for Medical Image Segmentation

Fuyi Wang, Jinzhi Ouyang, Lei Pan, Leo Yu Zhang, Xiaoning Liu, Yanping Wang, Robin Doss

ECAI 2024, conference

Untargeted Backdoor Attack Against Deep Neural Networks With Imperceptible Trigger

Mingfu Xue, Yinghao Wu, Shifeng Ni, Leo Yu Zhang, Yushu Zhang, Weiqiang Liu

IEEE TII 2024, journal

VibMilk: Non-Intrusive Milk Spoilage Detection via Smartphone Vibration

Yuezhong Wu, Wei Song, Yanxiang Wang, Dong Ma, Weitao Xu, Mahbub Hassan, Wen Hu

IEEE IoTJ 2024, journal

Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferability

Yechao Zhang, Shengshan Hu, Leo Yu Zhang, Junyu Shi, Minghui Li, Xiaogeng Liu, Wei Wan, Hai Jin

IEEE S&P 2024, conference

202353

A Bottom-Up Capsule Network for Hierarchical Image Classification

Khondaker Tasrif Noor, Antonio Robles-Kelly, Leo Yu Zhang, Mohamed Reda Bouadjenek

DICTA 2023, conference

A Four-Pronged Defense Against Byzantine Attacks in Federated Learning

Wei Wan, Shengshan Hu, Minghui Li, Jianrong Lu, Longling Zhang, Leo Yu Zhang, Hai Jin

ACM MM 2023, conference

A Prompt Learning Framework for Source Code Summarization

Weisong Sun, Chunrong Fang, Yudu You, Yuchen Chen, Yi Liu, Chong Wang, Jian Zhang, Quanjun Zhang, Hanwei Qian, Wei Zhao, Yang Liu, Zhenyu Chen

arXiv 2023, preprint

arXiv

A Runtime Verification Framework for Cyber-Physical Systems Based on Data Analytics and LTL Formula Learning

Ayodeji James Akande, Zhe Hou, Ernest Foo, Qinyi Li

ICFEM 2023, conference

A Survey of PPG's Application in Authentication

Lin Li, Chao Chen, Lei Pan, Leo Yu Zhang, Zhifeng Wang, Jun Zhang, Yang Xiang

Computers & Security 2023, journal

A survey on fairness-aware recommender systems

Di Jin, Luzhi Wang, He Zhang, Yizhen Zheng, Weiping Ding, Feng Xia, Shirui Pan

Information Fusion 2023, journal

AgrEvader: Poisoning Membership Inference against Byzantine-robust Federated Learning

Yanjun Zhang, Guangdong Bai, Mahawaga Arachchige Pathum Chamikara, Mengyao Ma, Liyue Shen, Jingwei Wang, Surya Nepal, Minhui Xue, Long Wang, Joseph K. Liu

WWW 2023, conference

An Efficient Approach to Manage Natural Noises in Recommender Systems

Chenhong Luo, Yong Wang, Bo Li, Hanyang Liu, Pengyu Wang, Leo Yu Zhang

Algorithms 2023, journal

An improved matrix factorization with local differential privacy based on piecewise mechanism for recommendation systems

Yong Wang, Mingxing Gao, Xun Ran, Jun Ma, Leo Yu Zhang

Expert Systems with Applications 2023, journal

ASTER: Automatic Speech Recognition System Accessibility Testing for Stutterers

Yi Liu, Yuekang Li, Gelei Deng, Felix Juefei-Xu, Yao Du, Cen Zhang, Chengwei Liu, Yeting Li, Lei Ma, Yang Liu

ASE 2023, conference

Backdoor Attack on Deep Neural Networks in Perception Domain

Xiaoxing Mo, Leo Yu Zhang, Nan Sun, Wei Luo, Shang Gao

IJCNN 2023, conference

Buffeting Chaotification Model for Enhancing Chaos and Its Hardware Implementation

Zhiqiang Zhang, Hong Zhu, Pengxin Ban, Yong Wang, Leo Yu Zhang

IEEE TIE 2023, journal

Catch Me If You Can: A New Low-Rate DDoS Attack Strategy Disguised by Feint

Tianyang Cai, Yuqi Li, Tao Jia, Leo Yu Zhang, Zheng Yang

CSCWD 2023, conference

Client-side Gradient Inversion Against Federated Learning from Poisoning

Jiaheng Wei, Yanjun Zhang, Leo Yu Zhang, Chao Chen, Shirui Pan, Kok-Leong Ong, Jun Zhang, Yang Xiang

arXiv 2023, preprint

arXiv

Corrupting Convolution-based Unlearnable Datasets with Pixel-based Image Transformations

Xianlong Wang, Shengshan Hu, Minghui Li, Zhifei Yu, Ziqi Zhou, Leo Yu Zhang, Hai Jin

arXiv 2023, preprint

arXiv

Cyber Information Retrieval Through Pragmatics Understanding and Visualization

Nan Sun, Jun Zhang, Shang Gao, Leo Yu Zhang, Seyit Camtepe, Yang Xiang

IEEE TDSC 2023, journal

Cyber Security Resilience in Industrial Control Systems using Defence-in-Depth and Zero Trust

Zahra Jadidi, Shantanu Pal, Qinyi Li, Ernest Foo

ICST 2023, conference

Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural Networks

He Zhang, Bang Wu, Shuo Wang, Xiangwen Yang, Minhui Xue, Shirui Pan, Xingliang Yuan

ICML 2023, conference

Link

Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning

Hangtao Zhang, Zeming Yao, Leo Yu Zhang, Shengshan Hu, Chao Chen, Alan Wee-Chung Liew, Zhetao Li

IJCAI 2023, conference

Downstream-agnostic Adversarial Examples

Ziqi Zhou, Shengshan Hu, Ruizhi Zhao, Qian Wang, Leo Yu Zhang, Junhui Hou, Hai Jin

ICCV 2023, conference

Effective ReDoS Detection by Principled Vulnerability Modeling and Exploit Generation

Xinyi Wang, Cen Zhang, Yeting Li, Zhiwu Xu, Shuailin Huang, Yi Liu, Yican Yao, Yang Xiao, Yanyan Zou, Yang Liu, Wei Huo

IEEE S&P 2023, conference

Encrypted Network Traffic Classification with Higher Order Graph Neural Network

Zulu Okonkwo, Ernest Foo, Zhe Hou, Qinyi Li, Zahra Jadidi

ACISP 2023, conference

ExploitFlow: Cyber Security Exploitation Routes for Game Theory and AI Research in Robotics

Víctor Mayoral-Vilches, Gelei Deng, Yi Liu, Martin Pinzger, Stefan Rass

arXiv 2023, preprint

arXiv

Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs

Yizhen Zheng, He Zhang, Vincent Cheng-Siong Lee, Yu Zheng, Xiao Wang, Shirui Pan

ICML 2023, conference

arXiv

From Chaos to Pseudorandomness: A Case Study on the 2-D Coupled Map Lattice

Yong Wang, Zhuo Liu, Leo Yu Zhang, Fabio Pareschi, Gianluca Setti, Guanrong Chen

IEEE TCYB 2023, journal

Identity-Based Matchmaking Encryption with Enhanced Privacy - A Generic Construction with Practical Instantiations

Xavier Boyen, Qinyi Li

ESORICS 2023, conference

Investigating Users' Understanding of Privacy Policies of Virtual Personal Assistant Applications

Baiqi Chen, Tingmin Wu, Yanjun Zhang, Mohan Baruwal Chhetri, Guangdong Bai

AsiaCCS 2023, conference

Jailbreaker: Automated Jailbreak Across Multiple Large Language Model Chatbots

Gelei Deng, Yi Liu, Yuekang Li, Kailong Wang, Ying Zhang, Zefeng Li, Haoyu Wang, Tianwei Zhang, Yang Liu

arXiv 2023, preprint

arXiv

Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study

Yi Liu, Gelei Deng, Zhengzi Xu, Yuekang Li, Yaowen Zheng, Ying Zhang, Lida Zhao, Tianwei Zhang, Kailong Wang, Yang Liu

arXiv 2023, preprint

arXiv

LoDen: Making Every Client in Federated Learning a Defender Against the Poisoning Membership Inference Attacks

Mengyao Ma, Yanjun Zhang, Mahawaga Arachchige Pathum Chamikara, Leo Yu Zhang, Mohan Baruwal Chhetri, Guangdong Bai

AsiaCCS 2023, conference

Masked Language Model Based Textual Adversarial Example Detection

Xiaomei Zhang, Zhaoxi Zhang, Qi Zhong, Xufei Zheng, Yanjun Zhang, Shengshan Hu, Leo Yu Zhang

AsiaCCS 2023, conference

NAUTILUS: Automated RESTful API Vulnerability Detection

Gelei Deng, Zhiyi Zhang, Yuekang Li, Yi Liu, Tianwei Zhang, Yang Liu, Guo Yu, Dongjin Wang

USENIX Security 2023, conference

Link

On the Interaction between Node Fairness and Edge Privacy in Graph Neural Networks

He Zhang, Xingliang Yuan, Quoc Viet Hung Nguyen, Shirui Pan

arXiv 2023, preprint

arXiv

PentestGPT: An LLM-empowered Automatic Penetration Testing Tool

Gelei Deng, Yi Liu, Victor Mayoral Vilches, Peng Liu, Yuekang Li, Yuan Xu, Tianwei Zhang, Yang Liu, Martin Pinzger, Stefan Rass

arXiv 2023, preprint

arXiv

PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models against Adversarial Examples

Shengshan Hu, Junwei Zhang, Wei Liu, Junhui Hou, Minghui Li, Leo Yu Zhang, Hai Jin, Lichao Sun

AAAI 2023, conference

PointCRT: Detecting Backdoor in 3D Point Cloud via Corruption Robustness

Shengshan Hu, Wei Liu, Minghui Li, Yechao Zhang, Xiaogeng Liu, Xianlong Wang, Leo Yu Zhang, Junhui Hou

ACM MM 2023, conference

Post-GDPR Threat Hunting on Android Phones: Dissecting OS-level Safeguards of User-unresettable Identifiers

Mark Huasong Meng, Qing Zhang, Guangshuai Xia, Yuwei Zheng, Yanjun Zhang, Guangdong Bai, Zhi Liu, Sin G. Teo, Jin Song Dong

NDSS 2023, conference

Link

Predicate Private Set Intersection with Linear Complexity

Yaxi Yang, Jian Weng, Yufeng Yi, Changyu Dong, Leo Yu Zhang, Jianying Zhou

ACNS 2023, conference

Preserving Privacy for Distributed Genome-Wide Analysis Against Identity Tracing Attacks

Yanjun Zhang, Guangdong Bai, Xue Li, Surya Nepal, Marthie Grobler, Chen Chen, Ryan K. L. Ko

IEEE TDSC 2023, journal

Preserving Privacy of Input Features Across All Stages of Collaborative Learning

Jianrong Lu, Lulu Xue, Wei Wan, Minghui Li, Leo Yu Zhang, Shengqing Hu

ISPA/BDCloud/SocialCom/SustainCom 2023, conference

Preserving the Privacy and Cybersecurity of Home Energy Data

Richard Bean, Yanjun Zhang, Ryan K. L. Ko, Xinyu Mao, Guangdong Bai

Emerging Trends in Cybersecurity Applications 2023, conference

PriRanGe: Privacy-Preserving Range-Constrained Intersection Query Over Genomic Data

Yaxi Yang, Yao Tong, Jian Weng, Yufeng Yi, Yandong Zheng, Leo Yu Zhang, Rongxing Lu

IEEE TCC 2023, journal

Probabilistic Matrix Factorization Recommendation Approach for Integrating Multiple Information Sources

Jiangzhou Deng, Xun Ran, Yong Wang, Leo Yu Zhang, Junpeng Guo

IEEE TSMC 2023, journal

Projective Ranking-Based GNN Evasion Attacks

He Zhang, Xingliang Yuan, Chuan Zhou, Shirui Pan

IEEE TKDE 2023, journal

Prompt Injection attack against LLM-integrated Applications

Yi Liu, Gelei Deng, Yuekang Li, Kailong Wang, Zihao Wang, Xiaofeng Wang, Tianwei Zhang, Yepang Liu, Haoyu Wang, Yan Zheng, Leo Yu Zhang, Yang Liu

arXiv 2023, preprint

arXiv

Providing prediction reliability through deep neural networks for recommender systems

Jiangzhou Deng, Hongtao Li, Junpeng Guo, Leo Yu Zhang, Yong Wang

Computers & Industrial Engineering 2023, journal

PumpChannel: An Efficient and Secure Communication Channel for Trusted Execution Environment on ARM-FPGA Embedded SoC

Jingquan Ge, Yuekang Li, Yang Liu, Yaowen Zheng, Yi Liu, Lida Zhao

DATE 2023, conference

SigA: rPPG-based Authentication for Virtual Reality Head-mounted Display

Lin Li, Chao Chen, Lei Pan, Leo Yu Zhang, Jun Zhang, Yang Xiang

RAID 2023, conference

Tightly Secure Lattice Identity-Based Signature in the Quantum Random Oracle Model

Ernest Foo, Qinyi Li

ACISP 2023, conference

Towards Self-Interpretable Graph-Level Anomaly Detection

Yixin Liu, Kaize Ding, Qinghua Lu, Fuyi Li, Leo Yu Zhang, Shirui Pan

NeurIPS 2023, conference

arXiv

Turn Passive to Active: A Survey on Active Intellectual Property Protection of Deep Learning Models

Mingfu Xue, Leo Yu Zhang, Yushu Zhang, Weiqiang Liu

arXiv 2023, preprint

arXiv

Why Does Little Robustness Help? Understanding Adversarial Transferability From Surrogate Training

Yechao Zhang, Shengshan Hu, Leo Yu Zhang, Junyu Shi, Minghui Li, Xiaogeng Liu, Wei Wan, Hai Jin

arXiv 2023, preprint

arXiv

WiP: Towards Zero Trust Authentication in Critical Industrial Infrastructures with PRISM

Fuyi Wang, Yanping Wang, Leo Yu Zhang, Yuval Hertzog, Michael Loewy, Dominique Valladolid, Julio Medeiros, Muna Al-Hawawreh, Robin Doss

ACNS 2023, workshop

202237

A CNN Based Encrypted Network Traffic Classifier

Zulu Okonkwo, Ernest Foo, Qinyi Li, Zhe Hou

ACSW 2022, conference

A collaborative filtering algorithm based on item labels and Hellinger distance for sparse data

Yong Wang, Xuhui Zhao, Zhiqiang Zhang, Leo Yu Zhang

Information Sciences 2022, journal

A Differential Privacy Mechanism for Deceiving Cyber Attacks in IoT Networks

Guizhen Yang, Mengmeng Ge, Shang Gao, Xuequan Lu, Leo Yu Zhang, Robin Doss

NSS 2022, conference

A differentially private matrix factorization based on vector perturbation for recommender system

Xun Ran, Yong Wang, Leo Yu Zhang, Jun Ma

Neurocomputing 2022, journal

A differentially private nonnegative matrix factorization for recommender system

Xun Ran, Yong Wang, Leo Yu Zhang, Jun Ma

Information Sciences 2022, journal

A Digital Twin Runtime Verification Framework for Protecting Satellites Systems from Cyber Attacks

Zhé Hóu, Qinyi Li, Ernest Foo, Jin Song Dong, Paulo de Souza

ICECCS 2022, conference

A Generic Enhancer for Backdoor Attacks on Deep Neural Networks

Bilal Hussain Abbasi, Qi Zhong, Leo Yu Zhang, Shang Gao, Antonio Robles-Kelly, Robin Doss

ICONIP 2022, conference

Attention Distraction: Watermark Removal Through Continual Learning with Selective Forgetting

Qi Zhong, Leo Yu Zhang, Shengshan Hu, Longxiang Gao, Jun Zhang, Yong Xiang

ICME 2022, conference

BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean Label

Shengshan Hu, Ziqi Zhou, Yechao Zhang, Leo Yu Zhang, Yifeng Zheng, Yuanyuan He, Hai Jin

ACM MM 2022, conference

Better Together: Attaining the Triad of Byzantine-robust Federated Learning via Local Update Amplification

Liyue Shen, Yanjun Zhang, Jingwei Wang, Guangdong Bai

ACSAC 2022, conference

Challenges and Approaches for Mitigating Byzantine Attacks in Federated Learning

Junyu Shi, Wei Wan, Shengshan Hu, Jianrong Lu, Leo Yu Zhang

TrustCom 2022, conference

DeepAnna: Deep Learning based Java Annotation Recommendation and Misuse Detection

Yi Liu, Yadong Yan, Chaofeng Sha, Xin Peng, Bihuan Chen, Chong Wang

SANER 2022, conference

Defining Security Requirements With the Common Criteria: Applications, Adoptions, and Challenges

Nan Sun, Chang-Tsun Li, Hin Chan, Ba Dung Le, Md Zahidul Islam, Leo Yu Zhang, Md. Rafiqul Islam, Warren Armstrong

IEEE Access 2022, journal

Detecting and Mitigating Backdoor Attacks with Dynamic and Invisible Triggers

Zhibin Zheng, Zhongyun Hua, Leo Yu Zhang

ICONIP 2022, conference

Detecting Contradictions from CoAP RFC Based on Knowledge Graph

Xinguo Feng, Yanjun Zhang, Mark Huasong Meng, Sin G. Teo

NSS 2022, conference

Evaluating Membership Inference Through Adversarial Robustness

Zhaoxi Zhang, Leo Yu Zhang, Xufei Zheng, Bilal Hussain Abbasi, Shengshan Hu

The Computer Journal 2022, journal

Low-Cost and Confidential ECG Acquisition Framework Using Compressed Sensing and Chaotic Systems for Wireless Body Area Network

Hui Zhang, Junxin Chen, Leo Yu Zhang, Chong Fu, Raffaele Gravina, Giancarlo Fortino, Zhihan Lv

IEEE JBHI 2022, journal

M-to-N Backdoor Paradigm: A Stealthy and Fuzzy Attack to Deep Learning Models

Linshan Hou, Zhongyun Hua, Yuhong Li, Leo Yu Zhang

arXiv 2022, preprint

arXiv

Pistis: Replay Attack and Liveness Detection for Gait-Based User Authentication on Wearable Devices Using Vibration

Wei Song, Hong Jia, Min Wang, Yuezhong Wu, Wanli Xue, Chun Tung Chou, Jiankun Hu, Wen Hu

IEEE IoTJ 2022, journal

Soil Moisture Sensing with mmWave Radar

Wenyao Chen, Yimeng Feng, Mark Cardamis, Cheng Jiang, Wei Song, Oula Ghannoum, Wen Hu

mmNets (MobiCom Workshop) 2022, workshop

Towards Behavior-Independent In-Hand User Authentication on Smartphone Using Vibration

Wei Song, Min Wang, Yuezhong Wu, Chun Tung Chou, Jiankun Hu, Wen Hu

MobiCom (Poster) 2022, workshop

Towards Better Generalization for Neural Network-Based SAT Solvers

Chenhao Zhang, Yanjun Zhang, Jeff Mao, Weitong Chen, Lin Yue, Guangdong Bai, Miao Xu

PAKDD 2022, conference

Towards Privacy-Preserving Neural Architecture Search

Fuyi Wang, Leo Yu Zhang, Lei Pan, Shengshan Hu, Robin Doss

ISCC 2022, conference

Wire Rope Damage Detection Signal Processing Using K-Singular Value Decomposition and Optimized Double-Tree Complex Wavelet Transform

Hongyao Wang, Qinyi Li, Shuang Han, Pengbo Li, Jie Tian, Shijing Zhang

IEEE TIM 2022, journal

Working Mechanism of Eternalblue and Its Application in Ransomworm

Zian Liu, Chao Chen, Leo Yu Zhang, Shang Gao

CSS 2022, conference

RISE members are shown in bold and selected papers carry a red mark. This list covers 2022 onward; complete records are on each member's DBLP and Google Scholar profiles, linked from the People page.

Papers, preprints and artefacts

20271

202689

"Do Not Mention This to the User": Detecting and Understanding Malicious Agent Skills in the Wild

Failures to Surface Harmful Contents in Video Large Language Models

Help or Hurdle? Rethinking Model Context Protocol-Augmented Large Language Models

How Your Credentials Are Leaked by LLM Agent Skills: An Empirical Study

CognixShield: PoV-Guided Vulnerable API Usage Detection in Large Codebases via LLMs

CrossSteer: Cross-Modal Safety Steering for Audio-Language Models

Debiasing LLMs by Masking Unfairness-Driving Attention Heads

DeMark: A Query-Free Black-Box Attack on Deepfake Watermarking Defenses

DUAP: Dual-task Universal Adversarial Perturbations Against Voice Control Systems

NgCaptcha: A CAPTCHA Bridging the Past and the Future

RamFuzz: LLM-Guided Greybox Fuzzing for Spatial Memory Corruption via Valid Range Violation

SAF: An AI-Agent-Ready and Browser-Accessible Static Analysis Framework for LLVM IR

Train in Vain: Functionality-Preserving Poisoning to Prevent Unauthorized Use of Code Datasets

202581

ViDToken: A Video-Transformer-Based Latent Token Defense for Adversarial Video Detection

HandID: Unobtrusive Gesture-independent User Authentication on Smartphones Using Vibration-based Hand Biometrics