People

Director

A/Prof Leo Zhang

Associate Professor · Lab Director

Trustworthy AI, Applied cryptography, Adversarial and poisoning attacks, Privacy-preserving computation, Authentication

Leo Zhang is an Associate Professor at Griffith and directs RISE. He works on trustworthy AI, from adversarial, backdoor and privacy attacks to their defences, and on applied cryptography for privacy-preserving computation and authentication. He received the 2021 AISA Researcher of the Year award and is an Associate Editor of IEEE TDSC.

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Academic members5

Dr Yanjun Zhang

Senior Lecturer

Trustworthy AI, Privacy-preserving computation, Adversarial and backdoor attacks, Federated learning

Yanjun Zhang is a Senior Lecturer who joined Griffith from the University of Technology Sydney, after a PhD at the University of Queensland. Her research covers adversarial, backdoor, poisoning and privacy attacks and defences for machine learning, and privacy-preserving computation, published at IEEE S&P, NDSS, ICML and CVPR.

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Dr Qinyi Li

Lecturer

Cryptography, Lattice-based cryptography, Secure protocols, Network security

Qinyi Li has been a Lecturer at Griffith since 2019, after a PhD and postdoctoral fellowship at Queensland University of Technology. He works on lattice-based cryptography, searchable encryption and secure protocols, with papers at CRYPTO and ASIACRYPT, and coordinates Griffith's cryptography and network security courses.

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Dr He Zhang Joined 2026

Lecturer

Security for AI, Trustworthy graph learning, Machine unlearning, LLM watermarking, Fairness and privacy

He Zhang joined Griffith as a Lecturer in February 2026 from RMIT University, after a PhD at Monash University. He studies security for AI and trustworthy AI systems: privacy-preserving technologies, graph learning, machine unlearning and LLM watermarking, with work in ICML, NDSS, KDD and Proceedings of the IEEE.

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Dr Yi Liu Joined 2026

Lecturer

LLM security, AI agent security, Software engineering and testing, Automated penetration testing

Yi Liu joined Griffith as a Lecturer in 2026, after a PhD at Nanyang Technological University and a role as AI Research Engineer at Quantstamp. He works on LLM and AI agent security and software testing, with papers at IEEE S&P, CCS, USENIX Security, NDSS and ICSE, and is a core contributor to PentestGPT.

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Dr Wei Song Joined 2026

Lecturer

Adversarial machine learning, AI watermarking, AI security for energy systems, Video LLM safety

Wei Song joined Griffith as a Lecturer in 2026, after a PhD and postdoctoral fellowship at UNSW Sydney. He works on adversarial machine learning, AI watermarking and AI security for energy systems, leads AUD 3.9M of funded work on secure AI for distributed energy assets and co-founded the spinout SunstackAI.

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