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I am a software engineer at Google. Prior to that, I earned CS Ph.D. from Georgia Tech, where I designed bottom-up adversarial approaches (in contrast to top-down security policies) to improve the robustness and security of ML/software systems.
I Published 10+ ML/software security research works at top-tier conferences including IEEE S&P, USENIX SEC, BlackHat USA, etc. Also, I am member of Program Committees at premium AI conferences including NeurIPS and ACM WWW.
Community Services
- 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
- Georgia Tech PhD mentor, 2023
Recent News
Aug 14, 2024. One US patent filed with Palo Alto Networks on Large Lanaguage Model (LLM) data leakage detection!
Aug 1, 2024. Check out our latest work of context-aware jailbreaking on LLM. It uncovers 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!
Sep 8, 2023. Gave talks about Software Supply Chain Security at IBM Research, USA and Texas A&M University.
Jul 10, 2023. One paper accepted to IEEE S&P 2024.
May 8, 2023. One paper accepted to USENIX Security 2024.