Alexandre Sablayrolles

According to our database, Alexandre Sablayrolles authored at least 27 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Pixtral 12B.

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

CoRR, 2024

Mixtral of Experts.

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

CoRR, 2024

2023

Mistral 7B.

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

CoRR, 2023

Privately generating tabular data using language models.

Alexandre Sablayrolles, Yue Wang, Brian Karrer

CoRR, 2023

EXACT: Extensive Attack for Split Learning.

Xinchi Qiu, Ilias Leontiadis, Luca Melis, Alexandre Sablayrolles, Pierre Stock

CoRR, 2023

TAN Without a Burn: Scaling Laws of DP-SGD.

Tom Sander, Pierre Stock, Alexandre Sablayrolles

Proceedings of the International Conference on Machine Learning, 2023

Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano.

Chuan Guo, Alexandre Sablayrolles, Maziar Sanjabi

Proceedings of the International Conference on Machine Learning, 2023

CANIFE: Crafting Canaries for Empirical Privacy Measurement in Federated Learning.

Samuel Maddock, Alexandre Sablayrolles, Pierre Stock

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Optimal Membership Inference Bounds for Adaptive Composition of Sampled Gaussian Mechanisms.

Saeed Mahloujifar, Alexandre Sablayrolles, Graham Cormode, Somesh Jha

CoRR, 2022

Defending against Reconstruction Attacks with Rényi Differential Privacy.

Pierre Stock, Igor Shilov, Ilya Mironov, Alexandre Sablayrolles

CoRR, 2022

Nearest Neighbor Search with Compact Codes: A Decoder Perspective.

Kenza Amara, Matthijs Douze, Alexandre Sablayrolles, Hervé Jégou

Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022

On the Importance of Difficulty Calibration in Membership Inference Attacks.

Lauren Watson, Chuan Guo, Graham Cormode, Alexandre Sablayrolles

Proceedings of the Tenth International Conference on Learning Representations, 2022

Watermarking Images in Self-Supervised Latent Spaces.

Pierre Fernandez, Alexandre Sablayrolles, Teddy Furon, Hervé Jégou, Matthijs Douze

Proceedings of the IEEE International Conference on Acoustics, 2022

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

CoRR, 2021

Tracing Data through Learning with Watermarking.

Alexandre Sablayrolles

Proceedings of the IH&MMSec '21: ACM Workshop on Information Hiding and Multimedia Security, 2021

Training data-efficient image transformers & distillation through attention.

Hugo Touvron, Matthieu Cord, Matthijs Douze, Francisco Massa, Alexandre Sablayrolles, Hervé Jégou

Proceedings of the 38th International Conference on Machine Learning, 2021

Grafit: Learning fine-grained image representations with coarse labels.

Hugo Touvron, Alexandre Sablayrolles, Matthijs Douze, Matthieu Cord, Hervé Jégou

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Going deeper with Image Transformers.

Hugo Touvron, Matthieu Cord, Alexandre Sablayrolles, Gabriel Synnaeve, Hervé Jégou

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Gradient-based Adversarial Attacks against Text Transformers.

Chuan Guo, Alexandre Sablayrolles, Hervé Jégou, Douwe Kiela

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Radioactive data: tracing through training.

Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, Hervé Jégou

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Large Memory Layers with Product Keys.

Guillaume Lample, Alexandre Sablayrolles, Marc'Aurelio Ranzato, Ludovic Denoyer, Hervé Jégou

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

White-box vs Black-box: Bayes Optimal Strategies for Membership Inference.

Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, Yann Ollivier, Hervé Jégou

Proceedings of the 36th International Conference on Machine Learning, 2019

Spreading vectors for similarity search.

Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, Hervé Jégou

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Déjà Vu: an empirical evaluation of the memorization properties of ConvNets.

Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, Hervé Jégou

CoRR, 2018

A neural network catalyzer for multi-dimensional similarity search.

Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, Hervé Jégou

CoRR, 2018

Link and Code: Fast Indexing With Graphs and Compact Regression Codes.

Matthijs Douze, Alexandre Sablayrolles, Hervé Jégou

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

How should we evaluate supervised hashing?

Alexandre Sablayrolles, Matthijs Douze, Nicolas Usunier, Hervé Jégou

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017