About
I am a PhD candidate in Computer Science at UMass Amherst, advised by Amir Houmansadr and co-advised by Eugene Bagdasarian.
My research centers on security, privacy, and behavioral properties of AI agent systems. I study how LLM agents interact with tools and connected software, and how that perception-action loop creates new risks such as prompt injection, information leakage, behavioral manipulation, and agent fingerprinting.
My goal is to adapt security thinking for autonomous AI systems: identifying agent-specific vulnerabilities and designing defenses that make agents safer to deploy in real-world environments.
π¬ Research Interests
- AI Agent Security β Understanding vulnerabilities specific to AI agents; designing attacks and defenses
- Web & Browser Agent Security β Dynamic prompt injection, agent observation manipulation, and secure-by-design browser agents
- Agent Privacy & Attribution β Prompt reconstruction and user profiling from encrypted browsing traces; multi-layer agent fingerprinting
- LLM Fairness & Behavior β Bias measurement; behavioral drift and persuasion effects in long-running agents
- Federated Learning & Unlearning β Privacy-preserving algorithms and selective knowledge removal in distributed systems
π’ Recent News
- π§ Jun 2026 β Started as a Research Intern at Brave Software, studying dynamic prompt injection in browser agents
- π΅οΈ Jun 2026 β Released AI Snitches Get Glitches on agentic surveillance evasion
- 𧬠Jun 2026 β Released Whose Agent Are You? on multi-layer fingerprinting of autonomous web agents
- π§ Feb 2026 β Released Understanding Persuasion in Long-Running Agents
- π Jan 2026 β Survey on Federated Unlearning accepted to IEEE Big Data 2026
- π Jan 2026 β Bias similarity across 30 LLMs (Accepted to ICLR 2026)
- π‘οΈ Jan 2026 β AI Web and Research Agents (WRAs) (Accepted to USENIX Security 2026)
- π‘οΈ May 2025 β Researching vulnerabilities in AI Web and Research Agents (WRAs)
- π§© Mar 2025 β Developing an inference attack on unlearning samples
- π May 2024 β Analyzed bias similarity across 30 LLMs
- π€ Mar 2024 β Presented research on federated unlearning at NESD 2024
- π Aug 2023 β Authored a survey paper on federated unlearning systems
- π Aug 2023 β Started PhD in Computer Science at UMass Amherst
- π Jun 2023 β Completed MS in Computer Science at Sungkyunkwan University