Aydore, Sergul

10 publications

ICLR 2025 Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval-Augmented Generation Tobias Leemann, Periklis Petridis, Giuseppe Vietri, Dionysis Manousakas, Aaron Roth, Sergul Aydore

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

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

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

ICML 2022 Generating Distributional Adversarial Examples to Evade Statistical Detectors Yigitcan Kaya, Muhammad Bilal Zafar, Sergul Aydore, Nathalie Rauschmayr, Krishnaram Kenthapadi

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

NeurIPS 2021 Adversarial Robustness with Non-Uniform Perturbations Ecenaz Erdemir, Jeffrey Bickford, Luca Melis, Sergul Aydore

ICML 2021 Differentially Private Query Release Through Adaptive Projection Sergul Aydore, William Brown, Michael Kearns, Krishnaram Kenthapadi, Luca Melis, Aaron Roth, Ankit A. Siva

NeurIPS 2019 Dynamic Local Regret for Non-Convex Online Forecasting Sergul Aydore, Tianhao Zhu, Dean P. Foster

ICML 2019 Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data Sergul Aydore, Bertrand Thirion, Gael Varoquaux