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I lead Frontier AGI Security Research at Google DeepMind
. I earned CS Ph.D. from Georgia Tech, advised by Dr. Wenke Lee.My research lies at the intersection of machine learning and systems security, with a focus on identifying and mitigating emerging threats in AI-driven environments through techniques such as safety alignment, adversarial defense. I share my findings with IEEE S&P, USENIX SEC, ACM CCS, BlackHat USA, etc.
Community Services
- ACM CCS Program Committee, 2026
- ICLR Program Committee, 2025
- ACM WWW Program Committee, 2024, 2025
- NeurIPS Program Committee, 2024
- SIG DIMVA Program Committee, 2023
- USENIX Security External Reviewer, 2021-2023
Recent News
May 2025. My AI security research work at Palo Alto Networks directly enabled the launch of their “Agentic AI Red Teaming” product. Congratulations to the team!
Aug 14, 2024. One US patent filed with Palo Alto Networks on Large Language Model (LLM) data leakage detection!
Aug 1, 2024. Our work on context-aware LLM jailbreaking has uncovered 60+ security risks from OpenAI marketplace applications!
Mar 1, 2024. Our work on defending adversarial learning attacks against bio-authentication systems is accepted to USENIX Security 2024!
