How should we evaluate supervised hashing? - Alexandre Sablayrolles; Matthijs Douze; Nicolas Usunier; Hervé Jégou (ICASSP, 2017)

Link and Code: Fast Indexing With Graphs and Compact Regression Codes. - Matthijs Douze; Alexandre Sablayrolles; Hervé Jégou (CVPR, 2018)

A neural network catalyzer for multi-dimensional similarity search. - Alexandre Sablayrolles; Matthijs Douze; Cordelia Schmid; Hervé Jégou (CoRR, 2018)

Déjà Vu: an empirical evaluation of the memorization properties of ConvNets. - Alexandre Sablayrolles; Matthijs Douze; Cordelia Schmid; Hervé Jégou (CoRR, 2018)

Spreading vectors for similarity search. - Alexandre Sablayrolles; Matthijs Douze; Cordelia Schmid; Hervé Jégou (ICLR (Poster), 2019)

White-box vs Black-box: Bayes Optimal Strategies for Membership Inference. - Alexandre Sablayrolles; Matthijs Douze; Cordelia Schmid; Yann Ollivier; Hervé Jégou (ICML, 2019)

Large Memory Layers with Product Keys. - Guillaume Lample; Alexandre Sablayrolles; Marc'Aurelio Ranzato; Ludovic Denoyer; Hervé Jégou (NeurIPS, 2019)

Radioactive data: tracing through training. - Alexandre Sablayrolles; Matthijs Douze; Cordelia Schmid; Hervé Jégou (ICML, 2020)

Gradient-based Adversarial Attacks against Text Transformers. - Chuan Guo 001; Alexandre Sablayrolles; Hervé Jégou; Douwe Kiela (EMNLP (1), 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 (ICCV, 2021)

Training data-efficient image transformers & distillation through attention. - Hugo Touvron; Matthieu Cord; Matthijs Douze; Francisco Massa; Alexandre Sablayrolles; Hervé Jégou (ICML, 2021)

Tracing Data through Learning with Watermarking. - Alexandre Sablayrolles (IH&MMSec, 2021)

Opacus: User-Friendly Differential Privacy Library in PyTorch. - Ashkan Yousefpour; Igor Shilov; Alexandre Sablayrolles; Davide Testuggine; Karthik Prasad; Mani Malek 001; John Nguyen; Sayan Ghosh; Akash Bharadwaj; Jessica Zhao; Graham Cormode; Ilya Mironov (CoRR, 2021)

Watermarking Images in Self-Supervised Latent Spaces. - Pierre Fernandez; Alexandre Sablayrolles; Teddy Furon; Hervé Jégou; Matthijs Douze (ICASSP, 2022)

On the Importance of Difficulty Calibration in Membership Inference Attacks. - Lauren Watson; Chuan Guo 001; Graham Cormode; Alexandre Sablayrolles (ICLR, 2022)

Nearest Neighbor Search with Compact Codes: A Decoder Perspective. - Kenza Amara; Matthijs Douze; Alexandre Sablayrolles; Hervé Jégou (ICMR, 2022)

Defending against Reconstruction Attacks with Rényi Differential Privacy. - Pierre Stock; Igor Shilov; Ilya Mironov; Alexandre Sablayrolles (CoRR, 2022)

Optimal Membership Inference Bounds for Adaptive Composition of Sampled Gaussian Mechanisms. - Saeed Mahloujifar; Alexandre Sablayrolles; Graham Cormode; Somesh Jha (CoRR, 2022)

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

Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano. - Chuan Guo 001; Alexandre Sablayrolles; Maziar Sanjabi (ICML, 2023)

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

EXACT: Extensive Attack for Split Learning. - Xinchi Qiu; Ilias Leontiadis; Luca Melis; Alexandre Sablayrolles; Pierre Stock (CoRR, 2023)

Privately generating tabular data using language models. - Alexandre Sablayrolles; Yue Wang; Brian Karrer (CoRR, 2023)

Mistral 7B. - Albert Q. Jiang; Alexandre Sablayrolles; Arthur Mensch; Chris Bamford 001; Devendra Singh Chaplot; Diego de Las Casas; Florian Bressand; Gianna Lengyel; Guillaume Lample; Lucile Saulnier; Lélio Renard Lavaud; Marie-Anne Lachaux; et al. (CoRR, 2023)

Mixtral of Experts. - Albert Q. Jiang; Alexandre Sablayrolles; Antoine Roux; Arthur Mensch; Blanche Savary; Chris Bamford 001; Devendra Singh Chaplot; Diego de Las Casas; Emma Bou Hanna; Florian Bressand; Gianna Lengyel; Guillaume Bour; et al. (CoRR, 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; et al. (CoRR, 2024)

Magistral. - Abhinav Rastogi; Albert Q. Jiang; Andy Lo; Gabrielle Berrada; Guillaume Lample; Jason Rute; Joep Barmentlo; Karmesh Yadav; Kartik Khandelwal; Khyathi Raghavi Chandu; Léonard Blier; Lucile Saulnier; et al. (CoRR, 2025)

Voxtral. - Alexander H. Liu; Andy Ehrenberg; Andy Lo; Clément Denoix; Corentin Barreau; Guillaume Lample; Jean-Malo Delignon; Khyathi Raghavi Chandu; Patrick von Platen; Pavankumar Reddy Muddireddy; Sanchit Gandhi; Soham Ghosh; et al. (CoRR, 2025)