Sylvestre-Alvise Rebuffi

Computer Science · Physical Sciences

14h-index1.6kcitations34works11.22yr avg
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Research Topics

Domain Adaptation and Few-Shot Learning(14), Adversarial Robustness in Machine Learning(10), Advanced Neural Network Applications(7), Anomaly Detection Techniques and Applications(7), Multimodal Machine Learning Applications(7)

Publications33 total

Learning to Watermark in the Latent Space of Generative Models
ArXiv.org·2026Open Access
Learning to Watermark in the Latent Space of Generative Models
arXiv (Cornell University)·2026Open Access
Pixel Seal: Adversarial-only training for invisible image and video watermarking
ArXiv.org·2025Open Access
Pixel Seal: Adversarial-only training for invisible image and video watermarking
arXiv (Cornell University)·2025Open Access
Transferable Black-Box One-Shot Forging of Watermarks via Image Preference Models
arXiv (Cornell University)·2025Open Access
SynthID-Image: Image watermarking at internet scale
arXiv (Cornell University)·2025Open Access
Geometric Image Synchronization with Deep Watermarking
arXiv (Cornell University)·2025Open Access
Generative models improve fairness of medical classifiers under distribution shifts
Nature Medicine·2024· 98 citedOpen Access
Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts
2023· 7 cited
Generative models improve fairness of medical classifiers under distribution shifts
2023· 12 citedOpen Access
Generative models improve fairness of medical classifiers under distribution shifts
arXiv (Cornell University)·2023· 15 citedOpen Access
Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts
arXiv (Cornell University)·2023Open Access
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research
arXiv (Cornell University)·2022· 3 citedOpen Access
Revisiting adapters with adversarial training
arXiv (Cornell University)·2022Open Access
Data Augmentation Can Improve Robustness
arXiv (Cornell University)·2021· 13 citedOpen Access
A Fine-Grained Analysis on Distribution Shift
arXiv (Cornell University)·2021· 4 citedOpen Access
Improving Robustness using Generated Data
arXiv (Cornell University)·2021· 4 citedOpen Access
LSD-C: Linearly Separable Deep Clusters
2021· 9 citedOpen Access
AutoNovel: Automatically Discovering and Learning Novel Visual Categories
IEEE Transactions on Pattern Analysis and Machine Intelligence·2021· 128 citedOpen Access
Defending Against Image Corruptions Through Adversarial Augmentations
arXiv (Cornell University)·2021· 4 citedOpen Access
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Frequent Co-authors

Andrea Vedaldi(13), Sven Gowal(12), Olivia Wiles(9), Kai Han(7), Sébastien Ehrhardt(7), Andrew Zisserman(7), Florian Stimberg(6), Hakan Bilen(4), Dan A. Calian(4), Timothy Mann(4), Sofia Ira Ktena(4), Pushmeet Kohli(4), Ali Taylan Cemgil(4), Pierre Fernandez(4), Hady Elsahar(4), Alexandre Mourachko(4), Valeriu Lacatusu(4), Ruth Fong(3), Xu Ji(3), Ryutaro Tanno(3)