基本信息
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职业迁徙
个人简介
My current research interests are primarily in the areas of applied cryptography, computer security and computer architecture.
Recent work: We defined a new data privacy notion called PAC Privacy, which is dependent on, and exploits, entropy in private data that is processed to produce exposed outputs, and furthermore, can be automatically measured and controlled. We developed techniques for reducing clipping bias in differentially-private machine learning.
Recent work: We defined a new data privacy notion called PAC Privacy, which is dependent on, and exploits, entropy in private data that is processed to produce exposed outputs, and furthermore, can be automatically measured and controlled. We developed techniques for reducing clipping bias in differentially-private machine learning.
研究兴趣
论文共 589 篇作者统计合作学者相似作者
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SPpp.2170-2189, (2023)
引用4浏览0EIWOS引用
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PROCEEDINGS OF THE 32ND USENIX SECURITY SYMPOSIUMpp.6043-6060, (2023)
引用0浏览0EI引用
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IEEE TRANSACTIONS ON SIGNAL PROCESSING (2023): 4257-4272
arXiv (Cornell University) (2023)
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arXiv (Cornell University) (2023)
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arxiv(2022)
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Hanguang Xiao,Srinivas Devadas
arXiv (Cornell University) (2022)
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