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Chong Xiang

Shanghai Jiao Tong Univerisity

PatchGuard++: Efficient Provable Attack Detection against Adversarial Patches


Apr 26, 2021
Chong Xiang, Prateek Mittal

* ICLR 2021 Workshop on Security and Safety in Machine Learning Systems 

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Improving Adversarial Robustness Using Proxy Distributions


Apr 19, 2021
Vikash Sehwag, Saeed Mahloujifar, Tinashe Handina, Sihui Dai, Chong Xiang, Mung Chiang, Prateek Mittal

* 24 pages, 5 figures, 4 tables 

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DetectorGuard: Provably Securing Object Detectors against Localized Patch Hiding Attacks


Feb 05, 2021
Chong Xiang, Prateek Mittal


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PatchGuard: Provable Defense against Adversarial Patches Using Masks on Small Receptive Fields


Jun 08, 2020
Chong Xiang, Arjun Nitin Bhagoji, Vikash Sehwag, Prateek Mittal


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Differentially Private Data Generative Models


Dec 06, 2018
Qingrong Chen, Chong Xiang, Minhui Xue, Bo Li, Nikita Borisov, Dali Kaarfar, Haojin Zhu


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Generating 3D Adversarial Point Clouds


Sep 19, 2018
Chong Xiang, Charles R. Qi, Bo Li


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