Alexandre Sablayrolles

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 41

Top Topics

Hypothesis Test

Nearest Neighbor Search

Differential Privacy

Similarity Search

Top Venues

Publications

Albert Q. Jiang, Alexandre Sablayrolles, Antoine Roux, Arthur Mensch, Blanche Savary, Chris Bamford, Devendra Singh Chaplot, Diego de Las Casas, Emma Bou Hanna, Florian Bressand, Gianna Lengyel, Guillaume Bour, Guillaume Lample, Lélio Renard Lavaud, Lucile Saulnier, Marie-Anne Lachaux, Pierre Stock, Sandeep Subramanian, Sophia Yang, Szymon Antoniak, Teven Le Scao, Théophile Gervet, Thibaut Lavril, Thomas Wang, Timothée Lacroix, William El Sayed
Mixtral of Experts. CoRR (2024)
Xinchi Qiu, Ilias Leontiadis, Luca Melis, Alexandre Sablayrolles, Pierre Stock
EXACT: Extensive Attack for Split Learning. CoRR (2023)
Albert Q. Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de Las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, Lélio Renard Lavaud, Marie-Anne Lachaux, Pierre Stock, Teven Le Scao, Thibaut Lavril, Thomas Wang, Timothée Lacroix, William El Sayed
Mistral 7B. CoRR (2023)
Samuel Maddock, Alexandre Sablayrolles, Pierre Stock
CANIFE: Crafting Canaries for Empirical Privacy Measurement in Federated Learning. ICLR (2023)
Chuan Guo, Alexandre Sablayrolles, Maziar Sanjabi
Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano. ICML (2023)
Tom Sander, Pierre Stock, Alexandre Sablayrolles
TAN Without a Burn: Scaling Laws of DP-SGD. ICML (2023)
Alexandre Sablayrolles, Yue Wang, Brian Karrer
Privately generating tabular data using language models. CoRR (2023)
Saeed Mahloujifar, Alexandre Sablayrolles, Graham Cormode, Somesh Jha
Optimal Membership Inference Bounds for Adaptive Composition of Sampled Gaussian Mechanisms. CoRR (2022)
Chuan Guo, Alexandre Sablayrolles, Maziar Sanjabi
Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano. CoRR (2022)
Tom Sander, Pierre Stock, Alexandre Sablayrolles
TAN without a burn: Scaling Laws of DP-SGD. CoRR (2022)
Samuel Maddock, Alexandre Sablayrolles, Pierre Stock
CANIFE: Crafting Canaries for Empirical Privacy Measurement in Federated Learning. CoRR (2022)
Kenza Amara, Matthijs Douze, Alexandre Sablayrolles, Hervé Jégou
Nearest Neighbor Search with Compact Codes: A Decoder Perspective. ICMR (2022)
Pierre Fernandez, Alexandre Sablayrolles, Teddy Furon, Hervé Jégou, Matthijs Douze
Watermarking Images in Self-Supervised Latent Spaces. ICASSP (2022)
Pierre Stock, Igor Shilov, Ilya Mironov, Alexandre Sablayrolles
Defending against Reconstruction Attacks with Rényi Differential Privacy. CoRR (2022)
Lauren Watson, Chuan Guo, Graham Cormode, Alexandre Sablayrolles
On the Importance of Difficulty Calibration in Membership Inference Attacks. ICLR (2022)
Kenza Amara, Matthijs Douze, Alexandre Sablayrolles, Hervé Jégou
Nearest neighbor search with compact codes: A decoder perspective. CoRR (2021)
Hugo Touvron, Matthieu Cord, Alexandre Sablayrolles, Gabriel Synnaeve, Hervé Jégou
Going deeper with Image Transformers. CoRR (2021)
Hugo Touvron, Matthieu Cord, Alexandre Sablayrolles, Gabriel Synnaeve, Hervé Jégou
Going deeper with Image Transformers. ICCV (2021)
Ashkan Yousefpour, Igor Shilov, Alexandre Sablayrolles, Davide Testuggine, Karthik Prasad, Mani Malek, John Nguyen, Sayan Gosh, Akash Bharadwaj, Jessica Zhao, Graham Cormode, Ilya Mironov
Opacus: User-Friendly Differential Privacy Library in PyTorch. CoRR (2021)
Pierre Fernandez, Alexandre Sablayrolles, Teddy Furon, Hervé Jégou, Matthijs Douze
Watermarking Images in Self-Supervised Latent Spaces. CoRR (2021)
Chuan Guo, Alexandre Sablayrolles, Hervé Jégou, Douwe Kiela
Gradient-based Adversarial Attacks against Text Transformers. EMNLP (1) (2021)
Chuan Guo, Alexandre Sablayrolles, Hervé Jégou, Douwe Kiela
Gradient-based Adversarial Attacks against Text Transformers. CoRR (2021)
Alexandre Sablayrolles
Tracing Data through Learning with Watermarking. IH&MMSec (2021)
Hugo Touvron, Matthieu Cord, Matthijs Douze, Francisco Massa, Alexandre Sablayrolles, Hervé Jégou
Training data-efficient image transformers & distillation through attention. ICML (2021)
Hugo Touvron, Alexandre Sablayrolles, Matthijs Douze, Matthieu Cord, Hervé Jégou
Grafit: Learning fine-grained image representations with coarse labels. ICCV (2021)
Lauren Watson, Chuan Guo, Graham Cormode, Alexandre Sablayrolles
On the Importance of Difficulty Calibration in Membership Inference Attacks. CoRR (2021)
Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, Hervé Jégou
Radioactive data: tracing through training. ICML (2020)
Hugo Touvron, Alexandre Sablayrolles, Matthijs Douze, Matthieu Cord, Hervé Jégou
Grafit: Learning fine-grained image representations with coarse labels. CoRR (2020)
Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, Hervé Jégou
Radioactive data: tracing through training. CoRR (2020)
Hugo Touvron, Matthieu Cord, Matthijs Douze, Francisco Massa, Alexandre Sablayrolles, Hervé Jégou
Training data-efficient image transformers & distillation through attention. CoRR (2020)
Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, Hervé Jégou
Spreading vectors for similarity search. ICLR (Poster) (2019)
Guillaume Lample, Alexandre Sablayrolles, Marc'Aurelio Ranzato, Ludovic Denoyer, Hervé Jégou
Large Memory Layers with Product Keys. NeurIPS (2019)
Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, Yann Ollivier, Hervé Jégou
White-box vs Black-box: Bayes Optimal Strategies for Membership Inference. ICML (2019)
Guillaume Lample, Alexandre Sablayrolles, Marc'Aurelio Ranzato, Ludovic Denoyer, Hervé Jégou
Large Memory Layers with Product Keys. CoRR (2019)
Alexandre Sablayrolles, Matthijs Douze, Yann Ollivier, Cordelia Schmid, Hervé Jégou
White-box vs Black-box: Bayes Optimal Strategies for Membership Inference. CoRR (2019)
Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, Hervé Jégou
A neural network catalyzer for multi-dimensional similarity search. CoRR (2018)
Matthijs Douze, Alexandre Sablayrolles, Hervé Jégou
Link and Code: Fast Indexing With Graphs and Compact Regression Codes. CVPR (2018)
Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, Hervé Jégou
Déjà Vu: an empirical evaluation of the memorization properties of ConvNets. CoRR (2018)
Matthijs Douze, Alexandre Sablayrolles, Hervé Jégou
Link and code: Fast indexing with graphs and compact regression codes. CoRR (2018)
Alexandre Sablayrolles, Matthijs Douze, Nicolas Usunier, Hervé Jégou
How should we evaluate supervised hashing? ICASSP (2017)
Alexandre Sablayrolles, Matthijs Douze, Hervé Jégou, Nicolas Usunier
How should we evaluate supervised hashing? CoRR (2016)