Alexandre Sablayrolles

42 papers A* 11B 1C 1Misc 2Journal 25Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Mixtral of Experts. CoRR 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
2024	J	`jnl`	Pixtral 12B. CoRR Pravesh Agrawal, Szymon Antoniak, Emma Bou Hanna, Baptiste Bout, Devendra Singh Chaplot, Jessica Chudnovsky, Diogo Costa, Baudouin De Monicault, Saurabh Garg, Théophile Gervet, Soham Ghosh, Amélie Héliou, Paul Jacob, Albert Q. Jiang, Kartik Khandelwal, Timothée Lacroix, Guillaume Lample, Diego de Las Casas, Thibaut Lavril, Teven Le Scao, Andy Lo, William Marshall, Louis Martin, Arthur Mensch, Pavankumar Muddireddy, Valera Nemychnikova, Marie Pellat, Patrick von Platen, Nikhil Raghuraman, Baptiste Rozière, Alexandre Sablayrolles, Lucile Saulnier, Romain Sauvestre, Wendy Shang, Roman Soletskyi, Lawrence Stewart, Pierre Stock, Joachim Studnia, Sandeep Subramanian, Sagar Vaze, Thomas Wang, Sophia Yang
2023	A*	`conf`	Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano. ICML Chuan Guo, Alexandre Sablayrolles, Maziar Sanjabi
2023	A*	`conf`	CANIFE: Crafting Canaries for Empirical Privacy Measurement in Federated Learning. ICLR Samuel Maddock, Alexandre Sablayrolles, Pierre Stock
2023	J	`jnl`	EXACT: Extensive Attack for Split Learning. CoRR Xinchi Qiu, Ilias Leontiadis, Luca Melis, Alexandre Sablayrolles, Pierre Stock
2023	J	`jnl`	Mistral 7B. CoRR 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
2023	J	`jnl`	Privately generating tabular data using language models. CoRR Alexandre Sablayrolles, Yue Wang, Brian Karrer
2023	A*	`conf`	TAN Without a Burn: Scaling Laws of DP-SGD. ICML Tom Sander, Pierre Stock, Alexandre Sablayrolles
2022	J	`jnl`	Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano. CoRR Chuan Guo, Alexandre Sablayrolles, Maziar Sanjabi
2022	J	`jnl`	CANIFE: Crafting Canaries for Empirical Privacy Measurement in Federated Learning. CoRR Samuel Maddock, Alexandre Sablayrolles, Pierre Stock
2022	J	`jnl`	Defending against Reconstruction Attacks with Rényi Differential Privacy. CoRR Pierre Stock, Igor Shilov, Ilya Mironov, Alexandre Sablayrolles
2022	B	`conf`	Nearest Neighbor Search with Compact Codes: A Decoder Perspective. ICMR Kenza Amara, Matthijs Douze, Alexandre Sablayrolles, Hervé Jégou
2022	A*	`conf`	On the Importance of Difficulty Calibration in Membership Inference Attacks. ICLR Lauren Watson, Chuan Guo, Graham Cormode, Alexandre Sablayrolles
2022	J	`jnl`	Optimal Membership Inference Bounds for Adaptive Composition of Sampled Gaussian Mechanisms. CoRR Saeed Mahloujifar, Alexandre Sablayrolles, Graham Cormode, Somesh Jha
2022	J	`jnl`	TAN without a burn: Scaling Laws of DP-SGD. CoRR Tom Sander, Pierre Stock, Alexandre Sablayrolles
2022	Misc	`conf`	Watermarking Images in Self-Supervised Latent Spaces. ICASSP Pierre Fernandez, Alexandre Sablayrolles, Teddy Furon, Hervé Jégou, Matthijs Douze
2021	A*	`conf`	Going deeper with Image Transformers. ICCV Hugo Touvron, Matthieu Cord, Alexandre Sablayrolles, Gabriel Synnaeve, Hervé Jégou
2021	J	`jnl`	Going deeper with Image Transformers. CoRR Hugo Touvron, Matthieu Cord, Alexandre Sablayrolles, Gabriel Synnaeve, Hervé Jégou
2021	—	`conf`	Gradient-based Adversarial Attacks against Text Transformers. EMNLP (1) Chuan Guo, Alexandre Sablayrolles, Hervé Jégou, Douwe Kiela
2021	J	`jnl`	Gradient-based Adversarial Attacks against Text Transformers. CoRR Chuan Guo, Alexandre Sablayrolles, Hervé Jégou, Douwe Kiela
2021	A*	`conf`	Grafit: Learning fine-grained image representations with coarse labels. ICCV Hugo Touvron, Alexandre Sablayrolles, Matthijs Douze, Matthieu Cord, Hervé Jégou
2021	J	`jnl`	Nearest neighbor search with compact codes: A decoder perspective. CoRR Kenza Amara, Matthijs Douze, Alexandre Sablayrolles, Hervé Jégou
2021	J	`jnl`	On the Importance of Difficulty Calibration in Membership Inference Attacks. CoRR Lauren Watson, Chuan Guo, Graham Cormode, Alexandre Sablayrolles
2021	J	`jnl`	Opacus: User-Friendly Differential Privacy Library in PyTorch. CoRR Ashkan Yousefpour, Igor Shilov, Alexandre Sablayrolles, Davide Testuggine, Karthik Prasad, Mani Malek, John Nguyen, Sayan Ghosh, Akash Bharadwaj, Jessica Zhao, Graham Cormode, Ilya Mironov
2021	C	`conf`	Tracing Data through Learning with Watermarking. IH&MMSec Alexandre Sablayrolles
2021	A*	`conf`	Training data-efficient image transformers & distillation through attention. ICML Hugo Touvron, Matthieu Cord, Matthijs Douze, Francisco Massa, Alexandre Sablayrolles, Hervé Jégou
2021	J	`jnl`	Watermarking Images in Self-Supervised Latent Spaces. CoRR Pierre Fernandez, Alexandre Sablayrolles, Teddy Furon, Hervé Jégou, Matthijs Douze
2020	J	`jnl`	Grafit: Learning fine-grained image representations with coarse labels. CoRR Hugo Touvron, Alexandre Sablayrolles, Matthijs Douze, Matthieu Cord, Hervé Jégou
2020	A*	`conf`	Radioactive data: tracing through training. ICML Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, Hervé Jégou
2020	J	`jnl`	Radioactive data: tracing through training. CoRR Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, Hervé Jégou
2020	J	`jnl`	Training data-efficient image transformers & distillation through attention. CoRR Hugo Touvron, Matthieu Cord, Matthijs Douze, Francisco Massa, Alexandre Sablayrolles, Hervé Jégou
2019	A*	`conf`	Large Memory Layers with Product Keys. NeurIPS Guillaume Lample, Alexandre Sablayrolles, Marc'Aurelio Ranzato, Ludovic Denoyer, Hervé Jégou
2019	J	`jnl`	Large Memory Layers with Product Keys. CoRR Guillaume Lample, Alexandre Sablayrolles, Marc'Aurelio Ranzato, Ludovic Denoyer, Hervé Jégou
2019	—	`conf`	Spreading vectors for similarity search. ICLR (Poster) Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, Hervé Jégou
2019	A*	`conf`	White-box vs Black-box: Bayes Optimal Strategies for Membership Inference. ICML Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, Yann Ollivier, Hervé Jégou
2019	J	`jnl`	White-box vs Black-box: Bayes Optimal Strategies for Membership Inference. CoRR Alexandre Sablayrolles, Matthijs Douze, Yann Ollivier, Cordelia Schmid, Hervé Jégou
2018	J	`jnl`	A neural network catalyzer for multi-dimensional similarity search. CoRR Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, Hervé Jégou
2018	J	`jnl`	Déjà Vu: an empirical evaluation of the memorization properties of ConvNets. CoRR Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, Hervé Jégou
2018	A*	`conf`	Link and Code: Fast Indexing With Graphs and Compact Regression Codes. CVPR Matthijs Douze, Alexandre Sablayrolles, Hervé Jégou
2018	J	`jnl`	Link and code: Fast indexing with graphs and compact regression codes. CoRR Matthijs Douze, Alexandre Sablayrolles, Hervé Jégou
2017	Misc	`conf`	How should we evaluate supervised hashing? ICASSP Alexandre Sablayrolles, Matthijs Douze, Nicolas Usunier, Hervé Jégou
2016	J	`jnl`	How should we evaluate supervised hashing? CoRR Alexandre Sablayrolles, Matthijs Douze, Hervé Jégou, Nicolas Usunier