Hello, I'm Debeshee Das

I'm a second-year Master's student in Computer Science at ETH Zurich, majoring in Machine Intelligence and specializing in AI security and privacy research. My work focuses on understanding and mitigating vulnerabilities in foundation models and AI systems, with particular emphasis on agentic security and privacy-preserving machine learning.

At ETH's SPY Lab, I have worked with Prof. Florian Tramèr and Jie Zhang, demonstrating fundamental flaws in membership inference attack evaluations for foundation models, with findings published at top-tier venues including IEEE Security & Privacy, ICLR Data-FM Workshop, and IEEE SaTML. I recently completed a research internship at Snyk/Invariant Labs with Dr. Luca Beurer-Kellner and Dr. Marc Fischer, where I developed CommandSans, a precision defense against prompt injection attacks on LLM agents, achieving near-perfect attack reduction while maintaining system utility. I am currently working on my master's thesis at UC Berkeley with Prof. David Wagner, Julien Piet, and Darya Kaviani, exploring the security vulnerabilities of AI agents augmented with persistent memory. I have also completed research internships at Microsoft Research (cloud incident analysis) and IBM Research Labs (AI for software engineering).

Previously at IIT Tirupati, I graduated as the top student across all departments (President's Gold Medal recipient) and have been recognized with prestigious awards including the IEEE WISC Premier Scholarship and Pralhad P. Chhabria Award for excellence in STEM research.