![](https://www.usenix.org/sites/default/files/styles/board_bio_photo/public/maurya_yash_200x230.jpg?itok=afIE2DqU)
Yash Maurya is a Privacy Engineering graduate student at Carnegie Mellon University, aiming to develop AI solutions that prioritize privacy and ethics. His work focuses on creating systems that safeguard societal values, with interests in Federated Learning, Differential Privacy, and Explainable AI. He is currently working with Professor Virginia Smith, on Unlearning in LLMs. Yash is also working as a Research Assistant, building a user-centric notice and choice threat modeling framework.
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