Rebuffi, Sylvestre-Alvise

15 publications

ICLRW 2025 A Taxonomy of Watermarking Methods for AI-Generated Content Pierre Fernandez, Hady Elsahar, Sylvestre-Alvise Rebuffi, Tomas Soucek, Valeriu Lacatusu, Tuan Tran, Alexandre Mourachko

NeurIPS 2025 Transferable Black-Box One-Shot Forging of Watermarks via Image Preference Models Tomas Soucek, Sylvestre-Alvise Rebuffi, Pierre Fernandez, Nikola Jovanović, Hady Elsahar, Valeriu Lacatusu, Tuan A. Tran, Alexandre Mourachko

JMLR 2023 Nevis'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research Jorg Bornschein, Alexandre Galashov, Ross Hemsley, Amal Rannen-Triki, Yutian Chen, Arslan Chaudhry, Xu Owen He, Arthur Douillard, Massimo Caccia, Qixuan Feng, Jiajun Shen, Sylvestre-Alvise Rebuffi, Kitty Stacpoole, Diego de las Casas, Will Hawkins, Angeliki Lazaridou, Yee Whye Teh, Andrei A. Rusu, Razvan Pascanu, Marc’Aurelio Ranzato

ICLR 2023 Revisiting Adapters with Adversarial Training Sylvestre-Alvise Rebuffi, Francesco Croce, Sven Gowal

CVPR 2023 Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts Francesco Croce, Sylvestre-Alvise Rebuffi, Evan Shelhamer, Sven Gowal

ICLR 2022 A Fine-Grained Analysis on Distribution Shift Olivia Wiles, Sven Gowal, Florian Stimberg, Sylvestre-Alvise Rebuffi, Ira Ktena, Krishnamurthy Dj Dvijotham, Ali Taylan Cemgil

ICLR 2022 Defending Against Image Corruptions Through Adversarial Augmentations Dan Andrei Calian, Florian Stimberg, Olivia Wiles, Sylvestre-Alvise Rebuffi, András György, Timothy A Mann, Sven Gowal

NeurIPSW 2021 A Fine-Grained Analysis of Robustness to Distribution Shifts Olivia Wiles, Sven Gowal, Florian Stimberg, Sylvestre-Alvise Rebuffi, Ira Ktena, Krishnamurthy Dj Dvijotham, Ali Taylan Cemgil

NeurIPS 2021 Data Augmentation Can Improve Robustness Sylvestre-Alvise Rebuffi, Sven Gowal, Dan Andrei Calian, Florian Stimberg, Olivia Wiles, Timothy A Mann

NeurIPS 2021 Improving Robustness Using Generated Data Sven Gowal, Sylvestre-Alvise Rebuffi, Olivia Wiles, Florian Stimberg, Dan Andrei Calian, Timothy A Mann

ICCVW 2021 LSD-C: Linearly Separable Deep Clusters Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Kai Han, Andrea Vedaldi, Andrew Zisserman

ICLR 2020 Automatically Discovering and Learning New Visual Categories with Ranking Statistics Kai Han, Sylvestre-Alvise Rebuffi, Sebastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman

CVPRW 2020 Semi-Supervised Learning with Scarce Annotations Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Kai Han, Andrea Vedaldi, Andrew Zisserman

NeurIPS 2017 Learning Multiple Visual Domains with Residual Adapters Sylvestre-Alvise Rebuffi, Hakan Bilen, Andrea Vedaldi

CVPR 2017 iCaRL: Incremental Classifier and Representation Learning Sylvestre-Alvise Rebuffi, Alexander Kolesnikov, Georg Sperl, Christoph H. Lampert