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110 Results
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Poster
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Wed 14:00 |
Differentially Private Covariance Revisited Wei Dong · Yuting Liang · Ke Yi |
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Poster
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Thu 9:00 |
Differentially Private Generalized Linear Models Revisited Raman Arora · Raef Bassily · Cristóbal Guzmán · Michael Menart · Enayat Ullah |
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Poster
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Thu 14:00 |
Mean Estimation with User-level Privacy under Data Heterogeneity Rachel Cummings · Vitaly Feldman · Audra McMillan · Kunal Talwar |
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Poster
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Tue 14:00 |
Differentially Private Online-to-batch for Smooth Losses Qinzi Zhang · Hoang Tran · Ashok Cutkosky |
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Poster
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Thu 9:00 |
When Does Differentially Private Learning Not Suffer in High Dimensions? Xuechen Li · Daogao Liu · Tatsunori Hashimoto · Huseyin A. Inan · Janardhan Kulkarni · Yin-Tat Lee · Abhradeep Guha Thakurta |
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Poster
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ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection HUIPING ZHUANG · Zhenyu Weng · Hongxin Wei · RENCHUNZI XIE · Kar-Ann Toh · Zhiping Lin |
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Poster
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Tue 14:00 |
What You See is What You Get: Principled Deep Learning via Distributional Generalization Bogdan Kulynych · Yao-Yuan Yang · Yaodong Yu · Jarosław Błasiok · Preetum Nakkiran |
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Poster
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Wed 9:00 |
House of Cans: Covert Transmission of Internal Datasets via Capacity-Aware Neuron Steganography Xudong Pan · Shengyao Zhang · Mi Zhang · Yifan Yan · Min Yang |
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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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Tue 9:00 |
ConfounderGAN: Protecting Image Data Privacy with Causal Confounder Qi Tian · Kun Kuang · Kelu Jiang · Furui Liu · Zhihua Wang · Fei Wu |
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Poster
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Tue 14:00 |
Reconstructing Training Data From Trained Neural Networks Niv Haim · Gal Vardi · Gilad Yehudai · Ohad Shamir · Michal Irani |
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Poster
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Tue 14:00 |
Privacy Induces Robustness: Information-Computation Gaps and Sparse Mean Estimation Kristian Georgiev · Samuel Hopkins |