Sablayrolles, Alexandre

12 publications

ICML 2023 Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson from Fano Chuan Guo, Alexandre Sablayrolles, Maziar Sanjabi

ICLR 2023 CANIFE: Crafting Canaries for Empirical Privacy Measurement in Federated Learning Samuel Maddock, Alexandre Sablayrolles, Pierre Stock

ICML 2023 TAN Without a Burn: Scaling Laws of DP-SGD Tom Sander, Pierre Stock, Alexandre Sablayrolles

ICLR 2022 On the Importance of Difficulty Calibration in Membership Inference Attacks Lauren Watson, Chuan Guo, Graham Cormode, Alexandre Sablayrolles

ICCV 2021 Going Deeper with Image Transformers Hugo Touvron, Matthieu Cord, Alexandre Sablayrolles, Gabriel Synnaeve, Hervé Jégou

ICCV 2021 Grafit: Learning Fine-Grained Image Representations with Coarse Labels Hugo Touvron, Alexandre Sablayrolles, Matthijs Douze, Matthieu Cord, Hervé Jégou

NeurIPSW 2021 Opacus: User-Friendly Differential Privacy Library in PyTorch Ashkan Yousefpour, Igor Shilov, Alexandre Sablayrolles, Davide Testuggine, Karthik Prasad, Mani Malek, John Nguyen, Sayan Ghosh, Akash Bharadwaj, Jessica Zhao, Graham Cormode, Ilya Mironov

ICML 2021 Training Data-Efficient Image Transformers & Distillation Through Attention Hugo Touvron, Matthieu Cord, Matthijs Douze, Francisco Massa, Alexandre Sablayrolles, Herve Jegou

ICML 2020 Radioactive Data: Tracing Through Training Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, Herve Jegou

NeurIPS 2019 Large Memory Layers with Product Keys Guillaume Lample, Alexandre Sablayrolles, Marc'Aurelio Ranzato, Ludovic Denoyer, Herve Jegou

ICLR 2019 Spreading Vectors for Similarity Search Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, Hervé Jégou

ICML 2019 White-Box vs Black-Box: Bayes Optimal Strategies for Membership Inference Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, Yann Ollivier, Herve Jegou