Sven Gowal

Computer Science · Physical Sciences

22h-index2.8kcitations75works28.52yr avg
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Research Topics

Adversarial Robustness in Machine Learning(38), Anomaly Detection Techniques and Applications(18), Advanced Neural Network Applications(9), Reinforcement Learning in Robotics(8), Distributed Control Multi-Agent Systems(7)

Publications74 total

SynthID-Image: Image watermarking at internet scale
arXiv (Cornell University)·2025Open Access
On the Difficulty of Constructing a Robust and Publicly-Detectable Watermark
ArXiv.org·2025· 1 citedOpen Access
Scalable watermarking for identifying large language model outputs
Nature·2024· 70 citedOpen Access
Evaluating Model Bias Requires Characterizing its Mistakes
arXiv (Cornell University)·2024Open 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
Differentially Private Diffusion Models Generate Useful Synthetic Images
arXiv (Cornell University)·2023· 15 citedOpen Access
Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts
arXiv (Cornell University)·2023Open Access
Benchmarking Robustness to Adversarial Image Obfuscations
arXiv (Cornell University)·2023· 2 citedOpen Access
Competition-level code generation with AlphaCode
Science·2022· 30 citedOpen Access
Hindering Adversarial Attacks with Implicit Neural Representations
arXiv (Cornell University)·2022Open Access
Revisiting adapters with adversarial training
arXiv (Cornell University)·2022Open Access
Discovering Bugs in Vision Models using Off-the-shelf Image Generation and Captioning
arXiv (Cornell University)·2022· 8 citedOpen Access
Robustness of Epinets against Distributional Shifts
arXiv (Cornell University)·2022· 1 citedOpen Access
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses
arXiv (Cornell University)·2022· 10 citedOpen 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
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Frequent Co-authors

Pushmeet Kohli(25), Robert Stanforth(18), Krishnamurthy Dvijotham(14), Timothy Mann(14), Chongli Qin(11), Po-Sen Huang(9), Jonathan Uesato(8), Olivia Wiles(8), Alcherio Martinoli(8), Sylvestre-Alvise Rebuffi(7), Ali Taylan Cemgil(7), Rudy Bunel(5), Johannes Welbl(5), Daniel J. Mankowitz(4), Soham De(4), Sofia Ira Ktena(4), András György(4), Gabriel Dulac-Arnold(3), Nir Levine(3), Jerry Li(3)