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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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Gradient Inversion Attack: Leaking Private Labels in Two-Party Split Learning


Nov 25, 2021
Sanjay Kariyappa, Moinuddin K Qureshi

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Enabling Inference Privacy with Adaptive Noise Injection


Apr 06, 2021
Sanjay Kariyappa, Ousmane Dia, Moinuddin K Qureshi

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MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation


May 06, 2020
Sanjay Kariyappa, Atul Prakash, Moinuddin Qureshi

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Defending Against Model Stealing Attacks with Adaptive Misinformation


Nov 16, 2019
Sanjay Kariyappa, Moinuddin K Qureshi

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Improving Adversarial Robustness of Ensembles with Diversity Training


Jan 28, 2019
Sanjay Kariyappa, Moinuddin K. Qureshi

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