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个人简介
My research centers on the foundations of privacy for machine learning and statistics, in particular differential privacy and its surprising interplay with other topics such as statistical validity, robustness, cryptography, and fairness. My background is in theoretical computer science, but increasingly my work spans machine learning, statistics, cryptography, and cybersecurity. My research and teaching have been recognized with an NSF CAREER award and the Ruth and Joel Spira Outstanding Teaching Award.
研究兴趣
论文共 102 篇作者统计合作学者相似作者
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ACM-SIGPLAN Symposium on Programming Language Design and Implementation (2024): 914-938
CoRR (2024)
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Proc. Priv. Enhancing Technol.no. 3 (2023): 211-232
Annual Conference Computational Learning Theory (2023): 46-93
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CoRR (2023): 3:1-3:21
arXiv (Cornell University)pp.1121-1146, (2023)
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