Gowal, Sven

30 publications

AISTATS 2025 On the Difficulty of Constructing a Robust and Publicly-Detectable Watermark Jaiden Fairoze, Guillermo Ortiz-Jimenez, Mel Vecerik, Somesh Jha, Sven Gowal

ICML 2024 Evaluating Model Bias Requires Characterizing Its Mistakes Isabela Albuquerque, Jessica Schrouff, David Warde-Farley, Ali Taylan Cemgil, Sven Gowal, Olivia Wiles

ICLRW 2024 Evaluating Model Bias Requires Characterizing Its Mistakes Isabela Albuquerque, Jessica Schrouff, David Warde-Farley, Ali Taylan Cemgil, Sven Gowal, Olivia Wiles

NeurIPS 2023 Benchmarking Robustness to Adversarial Image Obfuscations Florian Stimberg, Ayan Chakrabarti, Chun-Ta Lu, Hussein Hazimeh, Otilia Stretcu, Wei Qiao, Yintao Liu, Merve Kaya, Cyrus Rashtchian, Ariel Fuxman, Mehmet Tek, Sven Gowal

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 2022 Discovering Bugs in Vision Models Using Off-the-Shelf Image Generation and Captioning Olivia Wiles, Isabela Albuquerque, Sven Gowal

ICML 2022 Evaluating the Adversarial Robustness of Adaptive Test-Time Defenses Francesco Croce, Sven Gowal, Thomas Brunner, Evan Shelhamer, Matthias Hein, Taylan Cemgil

ICML 2022 Hindering Adversarial Attacks with Implicit Neural Representations Andrei A Rusu, Dan Andrei Calian, Sven Gowal, Raia Hadsell

ICMLW 2021 A Closer Look at the Adversarial Robustness of Information Bottleneck Models Iryna Korshunova, David Stutz, Alexander A Alemi, Olivia Wiles, 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

MLJ 2021 Challenges of Real-World Reinforcement Learning: Definitions, Benchmarks and Analysis Gabriel Dulac-Arnold, Nir Levine, Daniel J. Mankowitz, Jerry Li, Cosmin Paduraru, Sven Gowal, Todd Hester

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

NeurIPS 2021 Make Sure You're Unsure: A Framework for Verifying Probabilistic Specifications Leonard Berrada, Sumanth Dathathri, Krishnamurthy Dvijotham, Robert Stanforth, Rudy R Bunel, Jonathan Uesato, Sven Gowal, M. Pawan Kumar

ICLR 2021 Self-Supervised Adversarial Robustness for the Low-Label, High-Data Regime Sven Gowal, Po-Sen Huang, Aaron van den Oord, Timothy Mann, Pushmeet Kohli

ICLR 2020 A Framework for Robustness Certification of Smoothed Classifiers Using F-Divergences Krishnamurthy Dvijotham, Jamie Hayes, Borja Balle, Zico Kolter, Chongli Qin, Andras Gyorgy, Kai Xiao, Sven Gowal, Pushmeet Kohli

NeurIPS 2020 The Autoencoding Variational Autoencoder Taylan Cemgil, Sumedh Ghaisas, Krishnamurthy Dvijotham, Sven Gowal, Pushmeet Kohli

ICLR 2020 Toward Evaluating Robustness of Deep Reinforcement Learning with Continuous Control Tsui-Wei Weng, Krishnamurthy Dvijotham, Jonathan Uesato, Kai Xiao, Sven Gowal, Robert Stanforth, Pushmeet Kohli

ICLR 2020 Towards Stable and Efficient Training of Verifiably Robust Neural Networks Huan Zhang, Hongge Chen, Chaowei Xiao, Sven Gowal, Robert Stanforth, Bo Li, Duane Boning, Cho-Jui Hsieh

ICLR 2020 Towards Verified Robustness Under Text Deletion Interventions Johannes Welbl, Po-Sen Huang, Robert Stanforth, Sven Gowal, Krishnamurthy Dvijotham, Martin Szummer, Pushmeet Kohli

IJCAI 2019 A Dual Approach to Verify and Train Deep Networks Sven Gowal, Krishnamurthy Dvijotham, Robert Stanforth, Timothy A. Mann, Pushmeet Kohli

NeurIPS 2019 Adversarial Robustness Through Local Linearization Chongli Qin, James Martens, Sven Gowal, Dilip Krishnan, Krishnamurthy Dvijotham, Alhussein Fawzi, Soham De, Robert Stanforth, Pushmeet Kohli

ICLR 2019 Beyond Greedy Ranking: Slate Optimization via List-CVAE Ray Jiang, Sven Gowal, Yuqiu Qian, Timothy Mann, Danilo J. Rezende

UAI 2019 Efficient Neural Network Verification with Exactness Characterization Krishnamurthy Dvijotham, Robert Stanforth, Sven Gowal, Chongli Qin, Soham De, Pushmeet Kohli

ICML 2019 Learning from Delayed Outcomes via Proxies with Applications to Recommender Systems Timothy Arthur Mann, Sven Gowal, Andras Gyorgy, Huiyi Hu, Ray Jiang, Balaji Lakshminarayanan, Prav Srinivasan

ICLR 2019 Verification of Non-Linear Specifications for Neural Networks Chongli Qin, Krishnamurthy Dvijotham, Brendan O'Donoghue, Rudy Bunel, Robert Stanforth, Sven Gowal, Jonathan Uesato, Grzegorz Swirszcz, Pushmeet Kohli

UAI 2018 A Dual Approach to Scalable Verification of Deep Networks Krishnamurthy Dvijotham, Robert Stanforth, Sven Gowal, Timothy A. Mann, Pushmeet Kohli