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34 Results
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Poster
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Tue 14:00 |
Distributed Learning without Distress: Privacy-Preserving Empirical Risk Minimization Bargav Jayaraman · Lingxiao Wang · David Evans · Quanquan Gu |
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Poster
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Thu 14:00 |
Differentially Private Contextual Linear Bandits Roshan Shariff · Or Sheffet |
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Poster
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Wed 7:45 |
Spectral Signatures in Backdoor Attacks Brandon Tran · Jerry Li · Aleksander Madry |
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Poster
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Tue 14:00 |
Adversarial Attacks on Stochastic Bandits Kwang-Sung Jun · Lihong Li · Yuzhe Ma · Jerry Zhu |
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Poster
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Tue 14:00 |
Explaining Deep Learning Models -- A Bayesian Non-parametric Approach Wenbo Guo · Sui Huang · Yunzhe Tao · Xinyu Xing · Lin Lin |
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Poster
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Tue 14:00 |
A Spectral View of Adversarially Robust Features Shivam Garg · Vatsal Sharan · Brian Zhang · Gregory Valiant |
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Poster
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Wed 7:45 |
Differentially Private Uniformly Most Powerful Tests for Binomial Data Jordan Awan · Aleksandra Slavković |
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Poster
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Tue 14:00 |
Towards Robust Detection of Adversarial Examples Tianyu Pang · Chao Du · Yinpeng Dong · Jun Zhu |
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Poster
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Thu 7:45 |
Differentially Private Bayesian Inference for Exponential Families Garrett Bernstein · Daniel Sheldon |
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Poster
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Tue 14:00 |
Efficient Formal Safety Analysis of Neural Networks Shiqi Wang · Kexin Pei · Justin Whitehouse · Junfeng Yang · Suman Jana |
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Poster
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Tue 14:00 |
Differentially Private Testing of Identity and Closeness of Discrete Distributions Jayadev Acharya · Ziteng Sun · Huanyu Zhang |
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Poster
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Tue 14:00 |
Differentially Private k-Means with Constant Multiplicative Error Uri Stemmer · Haim Kaplan |