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ORCIDAlexandre Sablayrolles
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2020 – today
- 2024
[i24]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 abs/2401.04088 (2024)- 2023
- [c17]Samuel Maddock, Alexandre Sablayrolles, Pierre Stock:
CANIFE: Crafting Canaries for Empirical Privacy Measurement in Federated Learning. ICLR 2023 - [c16]Chuan Guo, Alexandre Sablayrolles, Maziar Sanjabi:
Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano. ICML 2023: 11998-12011 - [c15]Tom Sander, Pierre Stock, Alexandre Sablayrolles:
TAN Without a Burn: Scaling Laws of DP-SGD. ICML 2023: 29937-29949 - [i23]Xinchi Qiu, Ilias Leontiadis, Luca Melis, Alexandre Sablayrolles, Pierre Stock:
EXACT: Extensive Attack for Split Learning. CoRR abs/2305.12997 (2023) - [i22]Alexandre Sablayrolles, Yue Wang, Brian Karrer:
Privately generating tabular data using language models. CoRR abs/2306.04803 (2023) - [i21]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 abs/2310.06825 (2023) - 2022
- [c14]Pierre Fernandez, Alexandre Sablayrolles, Teddy Furon, Hervé Jégou, Matthijs Douze:
Watermarking Images in Self-Supervised Latent Spaces. ICASSP 2022: 3054-3058 - [c13]Lauren Watson, Chuan Guo, Graham Cormode, Alexandre Sablayrolles:
On the Importance of Difficulty Calibration in Membership Inference Attacks. ICLR 2022 - [c12]Kenza Amara, Matthijs Douze, Alexandre Sablayrolles, Hervé Jégou:
Nearest Neighbor Search with Compact Codes: A Decoder Perspective. ICMR 2022: 167-175 - [i20]Pierre Stock, Igor Shilov, Ilya Mironov, Alexandre Sablayrolles:
Defending against Reconstruction Attacks with Rényi Differential Privacy. CoRR abs/2202.07623 (2022) - [i19]Saeed Mahloujifar, Alexandre Sablayrolles, Graham Cormode
, Somesh Jha:
Optimal Membership Inference Bounds for Adaptive Composition of Sampled Gaussian Mechanisms. CoRR abs/2204.06106 (2022) - [i18]Samuel Maddock, Alexandre Sablayrolles, Pierre Stock:
CANIFE: Crafting Canaries for Empirical Privacy Measurement in Federated Learning. CoRR abs/2210.02912 (2022) - [i17]Tom Sander, Pierre Stock, Alexandre Sablayrolles:
TAN without a burn: Scaling Laws of DP-SGD. CoRR abs/2210.03403 (2022) - [i16]Chuan Guo, Alexandre Sablayrolles, Maziar Sanjabi:
Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano. CoRR abs/2210.13662 (2022) - 2021
- [c11]Chuan Guo, Alexandre Sablayrolles, Hervé Jégou, Douwe Kiela:
Gradient-based Adversarial Attacks against Text Transformers. EMNLP (1) 2021: 5747-5757 - [c10]Hugo Touvron, Matthieu Cord, Alexandre Sablayrolles, Gabriel Synnaeve, Hervé Jégou:
Going deeper with Image Transformers. ICCV 2021: 32-42 - [c9]Hugo Touvron, Alexandre Sablayrolles, Matthijs Douze, Matthieu Cord, Hervé Jégou:
Grafit: Learning fine-grained image representations with coarse labels. ICCV 2021: 854-864 - [c8]Hugo Touvron, Matthieu Cord, Matthijs Douze, Francisco Massa, Alexandre Sablayrolles, Hervé Jégou:
Training data-efficient image transformers & distillation through attention. ICML 2021: 10347-10357 - [c7]Alexandre Sablayrolles:
Tracing Data through Learning with Watermarking. IH&MMSec 2021: 5 - [i15]Hugo Touvron, Matthieu Cord, Alexandre Sablayrolles, Gabriel Synnaeve, Hervé Jégou:
Going deeper with Image Transformers. CoRR abs/2103.17239 (2021) - [i14]Chuan Guo, Alexandre Sablayrolles, Hervé Jégou, Douwe Kiela:
Gradient-based Adversarial Attacks against Text Transformers. CoRR abs/2104.13733 (2021) - [i13]Ashkan Yousefpour, Igor Shilov, Alexandre Sablayrolles, Davide Testuggine, Karthik Prasad, Mani Malek, John Nguyen, Sayan Ghosh, Akash Bharadwaj, Jessica Zhao, Graham Cormode, Ilya Mironov:
Opacus: User-Friendly Differential Privacy Library in PyTorch. CoRR abs/2109.12298 (2021) - [i12]Lauren Watson, Chuan Guo, Graham Cormode, Alexandre Sablayrolles:
On the Importance of Difficulty Calibration in Membership Inference Attacks. CoRR abs/2111.08440 (2021) - [i11]Kenza Amara, Matthijs Douze, Alexandre Sablayrolles, Hervé Jégou:
Nearest neighbor search with compact codes: A decoder perspective. CoRR abs/2112.09568 (2021) - [i10]Pierre Fernandez, Alexandre Sablayrolles, Teddy Furon, Hervé Jégou, Matthijs Douze:
Watermarking Images in Self-Supervised Latent Spaces. CoRR abs/2112.09581 (2021) - 2020
- [c6]Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, Hervé Jégou:
Radioactive data: tracing through training. ICML 2020: 8326-8335 - [i9]Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, Hervé Jégou:
Radioactive data: tracing through training. CoRR abs/2002.00937 (2020) - [i8]Hugo Touvron, Alexandre Sablayrolles, Matthijs Douze, Matthieu Cord, Hervé Jégou:
Grafit: Learning fine-grained image representations with coarse labels. CoRR abs/2011.12982 (2020) - [i7]Hugo Touvron, Matthieu Cord, Matthijs Douze, Francisco Massa, Alexandre Sablayrolles, Hervé Jégou:
Training data-efficient image transformers & distillation through attention. CoRR abs/2012.12877 (2020)
2010 – 2019
- 2019
- [c5]Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, Hervé Jégou:
Spreading vectors for similarity search. ICLR (Poster) 2019 - [c4]Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, Yann Ollivier, Hervé Jégou:
White-box vs Black-box: Bayes Optimal Strategies for Membership Inference. ICML 2019: 5558-5567 - [c3]Guillaume Lample, Alexandre Sablayrolles, Marc'Aurelio Ranzato, Ludovic Denoyer, Hervé Jégou:
Large Memory Layers with Product Keys. NeurIPS 2019: 8546-8557 - [i6]Guillaume Lample, Alexandre Sablayrolles, Marc'Aurelio Ranzato, Ludovic Denoyer, Hervé Jégou:
Large Memory Layers with Product Keys. CoRR abs/1907.05242 (2019) - [i5]Alexandre Sablayrolles, Matthijs Douze, Yann Ollivier, Cordelia Schmid, Hervé Jégou:
White-box vs Black-box: Bayes Optimal Strategies for Membership Inference. CoRR abs/1908.11229 (2019) - 2018
- [c2]Matthijs Douze, Alexandre Sablayrolles, Hervé Jégou:
Link and Code: Fast Indexing With Graphs and Compact Regression Codes. CVPR 2018: 3646-3654 - [i4]Matthijs Douze, Alexandre Sablayrolles, Hervé Jégou:
Link and code: Fast indexing with graphs and compact regression codes. CoRR abs/1804.09996 (2018) - [i3]Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, Hervé Jégou:
A neural network catalyzer for multi-dimensional similarity search. CoRR abs/1806.03198 (2018) - [i2]Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid, Hervé Jégou:
Déjà Vu: an empirical evaluation of the memorization properties of ConvNets. CoRR abs/1809.06396 (2018) - 2017
- [c1]Alexandre Sablayrolles, Matthijs Douze, Nicolas Usunier, Hervé Jégou:
How should we evaluate supervised hashing? ICASSP 2017: 1732-1736 - 2016
- [i1]Alexandre Sablayrolles, Matthijs Douze, Hervé Jégou, Nicolas Usunier:
How should we evaluate supervised hashing? CoRR abs/1609.06753 (2016)
Coauthor Index
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last updated on 2024-10-07 22:15 CEST by the dblp team
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