Biography
I am a final year PhD candidate in the Computer Science Department at the University of Virginia, advised by Professor David Evans. My primary area of research is privacy/security in machine learning, with a focus on distribution inference.
Interests
- Machine Learning Privacy
- Distribution/Property Inference
- Adversarial Machine Learning
Education
PhD in Computer Science, 2019-Present
University of Virginia
B.Tech (Hons) in Computer Science, 2014-2018
IIIT-Delhi
Experience
Graduate Research Assistant
Research on privacy and security in Machine Learning at SRG.
Research Assistant (Internship)
Investigating aspects of Privacy in Machine Learning systems and building Federate Learning systems.
Applied Scientist
Worked on Project Personality Chat and Microsoft Icecaps.
Software Development Intern
Worked on making AI-powered game bots, part of Bing STCI.
Recent Posts
Recent Publications
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(2024).
Do Parameters Reveal More than Loss for Membership Inference?.
In HiLD, ICML 2024.
(2024).
Do Membership Inference Attacks Work on Large Language Models?.
In Conference on Language Modeling (COLM), 2024.
(2023).
SoK: Memorization in General-Purpose Large Language Models.
In arXiv.