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Shuai Tang

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Membership Inference Attacks on Diffusion Models via Quantile Regression

Dec 08, 2023
Shuai Tang, Zhiwei Steven Wu, Sergul Aydore, Michael Kearns, Aaron Roth

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Scalable Membership Inference Attacks via Quantile Regression

Jul 07, 2023
Martin Bertran, Shuai Tang, Michael Kearns, Jamie Morgenstern, Aaron Roth, Zhiwei Steven Wu

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Improved Differentially Private Regression via Gradient Boosting

Mar 06, 2023
Shuai Tang, Sergul Aydore, Michael Kearns, Saeyoung Rho, Aaron Roth, Yichen Wang, Yu-Xiang Wang, Zhiwei Steven Wu

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Private Synthetic Data for Multitask Learning and Marginal Queries

Sep 15, 2022
Giuseppe Vietri, Cedric Archambeau, Sergul Aydore, William Brown, Michael Kearns, Aaron Roth, Ankit Siva, Shuai Tang, Zhiwei Steven Wu

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MAMDR: A Model Agnostic Learning Method for Multi-Domain Recommendation

Mar 22, 2022
Linhao Luo, Yumeng Li, Buyu Gao, Shuai Tang, Sinan Wang, Jiancheng Li, Tanchao Zhu, Jiancai Liu, Zhao Li, Binqiang Zhao, Ziyang Zheng, Shirui Pan

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Spectrally Adaptive Common Spatial Patterns

Feb 09, 2022
Mahta Mousavi, Eric Lybrand, Shuangquan Feng, Shuai Tang, Rayan Saab, Virginia de Sa

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Fast Adaptation with Linearized Neural Networks

Mar 02, 2021
Wesley J. Maddox, Shuai Tang, Pablo Garcia Moreno, Andrew Gordon Wilson, Andreas Damianou

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Deep Transfer Learning with Ridge Regression

Jun 11, 2020
Shuai Tang, Virginia R. de Sa

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Similarity of Neural Networks with Gradients

Mar 25, 2020
Shuai Tang, Wesley J. Maddox, Charlie Dickens, Tom Diethe, Andreas Damianou

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