Cybersecurity engineered across the whole lifecycle of intelligent systems.
A researcher-led lab in the School of Information and Communication Technology at Griffith University, Gold Coast and Brisbane.
The RISE framework
The principles, methods and evidence needed to trust digital and intelligent systems in adversarial environments. This layer defines security responsibilities, manages cyber risk and makes sure systems can withstand, recover from and adapt to incidents.
- Governance
- Risk controls
- Resilience
- Accountability
- Assurance
Intelligent, data-driven and automated methods for understanding threats, finding vulnerabilities and defending systems. This layer brings together threat intelligence, security analytics, the security of emerging AI systems, and secure software engineering and testing.
- Threat intelligence
- Security analytics
- LLM and agent security
- Secure software
- Automation
The cryptographic and systems foundations that protect sensitive data, computation and digital interactions. This layer connects foundational cryptography with practical privacy-enhancing technologies for health, finance, government, cyber intelligence, cloud services and AI-enabled systems.
- Applied cryptography
- Differential privacy
- Secure computation
- Verifiability
- Provenance
The integration layer that turns the principles, defences and foundations of R, I and S into deployable outcomes: secure engineering practice, integrated toolchains, adversarial evaluation and continuous security operations that keep protections effective as software, data and threats change.
- Demonstrators
- Toolchains
- Red teaming
- Monitoring
- Continuous assurance
- Risk and Requirements
- Design and Build
- Evaluate and Red Team
- Deploy and Operate
- Monitor and Improve
Latest news
All news and events- Paper
- Paper
- General
- People
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People
Everyone in the lab-
Leo Zhang
Lab Director
Trustworthy AI, Applied cryptography
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Yanjun Zhang
Senior Lecturer
Trustworthy AI, Privacy-preserving computation
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Qinyi Li
Lecturer
Cryptography, Lattice-based cryptography
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He Zhang
Lecturer
Security for AI, Trustworthy graph learning
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Yi Liu
Lecturer
LLM security, AI agent security
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Wei Song
Lecturer
Adversarial machine learning, AI watermarking
Selected publications
All selected publicationsHow Your Credentials Are Leaked by LLM Agent Skills: An Empirical Study
Featured projects
All projectsFunded project Active
Secure Federated Battery Management System for Distributed Energy Storage Assets
A privacy-preserving, attack-resilient federated learning platform for battery health and safety across fleets of distributed energy storage assets.
Research direction Proposed
Privacy-Preserving Cyber-Threat Intelligence Sharing
Letting organisations pool indicators, incidents and attack analytics without exposing the sensitive data behind them, using secure computation, differential privacy and cryptographic access control.
Research direction Active
Verifiable Provenance for Software, Data and AI Supply Chains
Cryptographic provenance, watermarking and continuous analysis that show where software, data and AI models came from, whether they were tampered with, and whether they can be trusted.
Join RISE
Study, research or partner with us
PhD scholarships, postdoctoral and visiting positions, honours and capstone projects, and partnerships with industry and government.