I am a first-year Computer Science PhD student at Cornell University seeking to make the ML we rely on more robust, secure, private, and equitable from both a practical and theoretical lens. I recently completed my Master's degree in Computer Science at the University of Washington, Seattle (UW), where I was advised by Prof. Sewoong Oh. My thesis, Label Poisoning is All You Need proposes a novel trajectory-matching-based backdoor attack, that corrupts (i.e., 'poisons') only the labels in a training set to create a highly-effective backdoor with an arbitrary trigger. My research is currently funded by the Cornell University Fellowship.
Previously, I recieved a B.S.B.A. in Computer Science and Mathematics, Philosophy with cum laude and ΦΒΚ honors from UW. During my stay, I was advised by Prof. Sewoong Oh, Prof. Rajesh Rao, and Spencer Sevilla. Additionally, I spent five summers working at Microsoft's Security and AI research group, building machine-learning detections for large-scale criminally-orchestrated attacks.
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