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56 Results
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Poster
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Tue 9:00 |
Differentially Private Model Compression FatemehSadat Mireshghallah · Arturs Backurs · Huseyin A. Inan · Lukas Wutschitz · Janardhan Kulkarni |
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Workshop
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Differentially Private Federated Learning with Normalized Updates Rudrajit Das · Abolfazl Hashemi · Sujay Sanghavi · Inderjit Dhillon |
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Poster
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Wed 9:00 |
Hypothesis Testing for Differentially Private Linear Regression Daniel Alabi · Salil Vadhan |
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Poster
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Improved Utility Analysis of Private CountSketch Rasmus Pagh · Mikkel Thorup |
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Workshop
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Training Differentially Private Graph Neural Networks with Random Walk Sampling Morgane Ayle · Jan Schuchardt · Lukas Gosch · Daniel Zügner · Stephan Günnemann |
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Workshop
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Differentially Private Gradient Boosting on Linear Learners for Tabular Data Saeyoung Rho · Shuai Tang · Sergul Aydore · Michael Kearns · Aaron Roth · Yu-Xiang Wang · Steven Wu · Cedric Archambeau |
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Poster
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Wed 14:00 |
Task-level Differentially Private Meta Learning Xinyu Zhou · Raef Bassily |
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Workshop
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Differentially Private Bias-Term only Fine-tuning of Foundation Models Zhiqi Bu · Yu-Xiang Wang · Sheng Zha · George Karypis |
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Poster
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Data Augmentation MCMC for Bayesian Inference from Privatized Data Nianqiao Ju · Jordan Awan · Ruobin Gong · Vinayak Rao |
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Workshop
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Fairness Certificates for Differentially Private Classification Paul Mangold · Michaël Perrot · Marc Tommasi · Aurélien Bellet |
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Poster
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Tue 9:00 |
Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax Optimization Liang Zhang · Kiran Thekumparampil · Sewoong Oh · Niao He |
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Poster
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Wed 14:00 |
Differentially Private Covariance Revisited Wei Dong · Yuting Liang · Ke Yi |