Tang, Shuai

10 publications

AAAI 2025 CoDeR: Counterfactual Demand Reasoning for Sequential Recommendation Shuai Tang, Sitao Lin, Jianghong Ma, Xiaofeng Zhang

ICML 2024 Membership Inference Attacks on Diffusion Models via Quantile Regression Shuai Tang, Steven Wu, Sergul Aydore, Michael Kearns, Aaron Roth

NeurIPS 2024 Reconstruction Attacks on Machine Unlearning: Simple Models Are Vulnerable Martin Bertran, Shuai Tang, Michael Kearns, Jamie Morgenstern, Aaron Roth, Zhiwei Steven Wu

NeurIPSW 2023 Membership Inference Attack on Diffusion Models via Quantile Regression Steven Wu, Shuai Tang, Sergul Aydore, Michael Kearns, Aaron Roth

NeurIPS 2023 Scalable Membership Inference Attacks via Quantile Regression Martin Bertran, Shuai Tang, Aaron Roth, Michael J. Kearns, Jamie H Morgenstern, Steven Z. Wu

NeurIPSW 2022 Differentially Private Gradient Boosting on Linear Learners for Tabular Data Saeyoung Rho, Cedric Archambeau, Sergul Aydore, Beyza Ermis, Michael Kearns, Aaron Roth, Shuai Tang, Yu-Xiang Wang, Steven Wu

NeurIPS 2022 Private Synthetic Data for Multitask Learning and Marginal Queries Giuseppe Vietri, Cedric Archambeau, Sergul Aydore, William Brown, Michael J. Kearns, Aaron Roth, Ankit Siva, Shuai Tang, Steven Z. Wu

AISTATS 2021 Fast Adaptation with Linearized Neural Networks Wesley Maddox, Shuai Tang, Pablo Moreno, Andrew Gordon Wilson, Andreas Damianou

NeurIPSW 2021 Improving Robustness in Motor Imagery Brain-Computer Interfaces Mahta Mousavi, Eric Lybrand, Shuangquan Feng, Shuai Tang, Rayan Saab, Virginia R. de Sa

WACV 2020 Improving Style Transfer with Calibrated Metrics Mao-Chuang Yeh, Shuai Tang, Anand Bhattad, Chuhang Zou, David Forsyth