Lécuyer, Mathias

6 publications

ICML 2025 Connecting Thompson Sampling and UCB: Towards More Efficient Trade-Offs Between Privacy and Regret Bingshan Hu, Zhiming Huang, Tianyue H. Zhang, Mathias Lécuyer, Nidhi Hegde

NeurIPS 2024 Adaptive Randomized Smoothing: Certified Adversarial Robustness for Multi-Step Defences Saiyue Lyu, Shadab Shaikh, Frederick Shpilevskiy, Evan Shelhamer, Mathias Lécuyer

AAAI 2024 DP-AdamBC: Your DP-Adam Is Actually DP-SGD (Unless You Apply Bias Correction) Qiaoyue Tang, Frederick Shpilevskiy, Mathias Lécuyer

NeurIPS 2024 PANORAMIA: Privacy Auditing of Machine Learning Models Without Retraining Mishaal Kazmi, Hadrien Lautraite, Alireza Akbari, Qiaoyue Tang, Mauricio Soroco, Tao Wang, Sébastien Gambs, Mathias Lécuyer

ICLRW 2023 DP-Adam: Correcting DP Bias in Adam's Second Moment Estimation Qiaoyue Tang, Mathias Lécuyer

ICML 2022 Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments Jinkun Lin, Anqi Zhang, Mathias Lécuyer, Jinyang Li, Aurojit Panda, Siddhartha Sen