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28 Results
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Spotlight
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Mon 20:38 |
Information Laundering for Model Privacy Xinran Wang · Yu Xiang · Jun Gao · Jie Ding |
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Workshop
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SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning Nishat Koti · Mahak Pancholi · Arpita Patra · Ajith Suresh |
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Workshop
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Byzantine-Robust and Privacy-Preserving Framework for FedML Seyedeh Hanieh Hashemi |
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Poster
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Tue 17:00 |
Information Laundering for Model Privacy Xinran Wang · Yu Xiang · Jun Gao · Jie Ding |
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Workshop
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AsymmetricML: An Asymmetric Decomposition Framework for Privacy-Preserving DNN Training and Inference Yue Niu · Salman Avestimehr |
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Workshop
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MPCLeague: Robust 4-party Computation for Privacy-Preserving Machine Learning Nishat Koti · Arpita Patra · Ajith Suresh |
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Workshop
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Fri 7:00 |
Synthetic Data Generation: Quality, Privacy, Bias Sergul Aydore · Krishnaram Kenthapadi · Haipeng Chen · Edward Choi · Jamie Hayes · Mario Fritz · Rachel Cummings · Krishnaram Kenthapadi |
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Workshop
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On Privacy and Confidentiality of Communications in Organizational Graphs Masoumeh Shafieinejad · Huseyin Inan · Marcello Hasegawa · Robert Sim |
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Poster
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Thu 9:00 |
Differentially Private Learning Needs Better Features (or Much More Data) Florian Tramer · Dan Boneh |
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Workshop
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Fri 10:42 |
Privacy Amplification via Iteration for Shuffled and Online PNSGD Matteo Sordello · Zhiqi Bu · Jinshuo Dong · Weijie J Su |
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Poster
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Thu 9:00 |
CaPC Learning: Confidential and Private Collaborative Learning Christopher Choquette-Choo · Natalie Dullerud · Adam Dziedzic · Yunxiang Zhang · Somesh Jha · Nicolas Papernot · Xiao Wang |
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Workshop
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Fri 12:15 |
A Better Bound Gives a Hundred Rounds: Enhanced Privacy Guarantees via f-Divergences Lalitha Sankar |