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Measuring and Controlling Split Layer Privacy Leakage Using Fisher Information


Sep 21, 2022
Kiwan Maeng, Chuan Guo, Sanjay Kariyappa, Edward Suh


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Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning using Independent Component Analysis


Sep 12, 2022
Sanjay Kariyappa, Chuan Guo, Kiwan Maeng, Wenjie Xiong, G. Edward Suh, Moinuddin K Qureshi, Hsien-Hsin S. Lee


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TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts


Jul 04, 2022
Chuan Guo, Xinxin Xuo, Sen Wang, Li Cheng

* Accepted to ECCV 2022 

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Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detection


May 15, 2022
Wei Ji, Jingjing Li, Qi Bi, Chuan Guo, Jie Liu, Li Cheng

* This paper appeared at ICLR 2022 

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Origins of Low-dimensional Adversarial Perturbations


Mar 25, 2022
Elvis Dohmatob, Chuan Guo, Morgane Goibert


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Privacy-Aware Compression for Federated Data Analysis


Mar 15, 2022
Kamalika Chaudhuri, Chuan Guo, Mike Rabbat


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Does Label Differential Privacy Prevent Label Inference Attacks?


Feb 25, 2022
Ruihan Wu, Jin Peng Zhou, Kilian Q. Weinberger, Chuan Guo


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Bounding Training Data Reconstruction in Private (Deep) Learning


Jan 28, 2022
Chuan Guo, Brian Karrer, Kamalika Chaudhuri, Laurens van der Maaten


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Submix: Practical Private Prediction for Large-Scale Language Models


Jan 04, 2022
Antonio Ginart, Laurens van der Maaten, James Zou, Chuan Guo


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ReAct: Out-of-distribution Detection With Rectified Activations


Nov 24, 2021
Yiyou Sun, Chuan Guo, Yixuan Li

* NeurIPS 2021. arXiv admin note: text overlap with arXiv:2111.09805 

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