vsehwag.github.io - Vikash Sehwag - Academic webpage

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I am a PhD candidate in Electrical Engineering at Princeton University . I build trustworthy machine learning systems, especially using generative models.

I am interested in research problems at the intersection of security, privacy, and machine learning . Some topics I have worked on are adversarial robust supervised / self-supervised learning, adversarial robustness in compressed neural networks, self-supervised detection of outliers, robust open-world machine learning, and privacy leakage in large scale deep learning.

I am advised by Prateek Mittal and Mung Chiang . Before coming to Princeton, I completed my undergraduate at IIT Kharagpur, India. I have previously interned at Microsoft Research and Meta AI . I have also been fortunate to receive Qualcomm Innovation Fellowship .

Links to vsehwag.github.io (10)

• cihangxie.github.io Cihang Xie
• xiaocw11.github.io Chaowei Xiao, University of Wisconsin, Madison
• advml-frontier.github.io AdvML 2024 - New Frontiers in Adversarial Machine Learning
• practical-dl.github.io Home | Practical-DL Workshop at IEEE CAI 2024
• robustbench.github.io RobustBench: Adversarial robustness benchmark
• robustart.github.io Home | The Art of Robustness
• katelee168.github.io Katherine Lee
• jailbreakbench.github.io JailbreakBench: LLM robustness benchmark
• iccv23-arow.github.io ICCV23 AROW Workshop
• feiran.io Feiran Jia