Sven Gowal

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 61

Top Topics

Image Generation

Reinforcement Learning

Diffusion Models

Posterior Marginals

Top Venues

Publications

Isabela Albuquerque, Jessica Schrouff, David Warde-Farley, A. Taylan Cemgil, Sven Gowal, Olivia Wiles
Evaluating Model Bias Requires Characterizing its Mistakes. CoRR (2024)
Sahra Ghalebikesabi, Leonard Berrada, Sven Gowal, Ira Ktena, Robert Stanforth, Jamie Hayes, Soham De, Samuel L. Smith, Olivia Wiles, Borja Balle
Differentially Private Diffusion Models Generate Useful Synthetic Images. CoRR (2023)
Francesco Croce, Sylvestre-Alvise Rebuffi, Evan Shelhamer, Sven Gowal
Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts. CoRR (2023)
Ira Ktena, Olivia Wiles, Isabela Albuquerque, Sylvestre-Alvise Rebuffi, Ryutaro Tanno, Abhijit Guha Roy, Shekoofeh Azizi, Danielle Belgrave, Pushmeet Kohli, Alan Karthikesalingam, A. Taylan Cemgil, Sven Gowal
Generative models improve fairness of medical classifiers under distribution shifts. CoRR (2023)
Francesco Croce, Sylvestre-Alvise Rebuffi, Evan Shelhamer, Sven Gowal
Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts. CVPR (2023)
Sylvestre-Alvise Rebuffi, Francesco Croce, Sven Gowal
Revisiting adapters with adversarial training. ICLR (2023)
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
Benchmarking Robustness to Adversarial Image Obfuscations. NeurIPS (2023)
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
Benchmarking Robustness to Adversarial Image Obfuscations. CoRR (2023)
Sylvestre-Alvise Rebuffi, Francesco Croce, Sven Gowal
Revisiting adapters with adversarial training. CoRR (2022)
Olivia Wiles, Isabela Albuquerque, Sven Gowal
Discovering Bugs in Vision Models using Off-the-shelf Image Generation and Captioning. CoRR (2022)
Xiuyuan Lu, Ian Osband, Seyed Mohammad Asghari, Sven Gowal, Vikranth Dwaracherla, Zheng Wen, Benjamin Van Roy
Robustness of Epinets against Distributional Shifts. CoRR (2022)
Andrei A. Rusu, Dan A. Calian, Sven Gowal, Raia Hadsell
Hindering Adversarial Attacks with Implicit Neural Representations. CoRR (2022)
Olivia Wiles, Sven Gowal, Florian Stimberg, Sylvestre-Alvise Rebuffi, Ira Ktena, Krishnamurthy Dvijotham, Ali Taylan Cemgil
A Fine-Grained Analysis on Distribution Shift. ICLR (2022)
Dan Andrei Calian, Florian Stimberg, Olivia Wiles, Sylvestre-Alvise Rebuffi, András György, Timothy A. Mann, Sven Gowal
Defending Against Image Corruptions Through Adversarial Augmentations. ICLR (2022)
Francesco Croce, Sven Gowal, Thomas Brunner, Evan Shelhamer, Matthias Hein, A. Taylan Cemgil
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses. CoRR (2022)
Yujia Li, David H. Choi, Junyoung Chung, Nate Kushman, Julian Schrittwieser, Rémi Leblond, Tom Eccles, James Keeling, Felix Gimeno, Agustin Dal Lago, Thomas Hubert, Peter Choy, Cyprien de Masson d'Autume, Igor Babuschkin, Xinyun Chen, Po-Sen Huang, Johannes Welbl, Sven Gowal, Alexey Cherepanov, James Molloy, Daniel J. Mankowitz, Esme Sutherland Robson, Pushmeet Kohli, Nando de Freitas, Koray Kavukcuoglu, Oriol Vinyals
Competition-Level Code Generation with AlphaCode. CoRR (2022)
Francesco Croce, Sven Gowal, Thomas Brunner, Evan Shelhamer, Matthias Hein, A. Taylan Cemgil
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses. ICML (2022)
Andrei A. Rusu, Dan Andrei Calian, Sven Gowal, Raia Hadsell
Hindering Adversarial Attacks with Implicit Neural Representations. ICML (2022)
Sylvestre-Alvise Rebuffi, Sven Gowal, Dan A. Calian, Florian Stimberg, Olivia Wiles, Timothy A. Mann
Fixing Data Augmentation to Improve Adversarial Robustness. CoRR (2021)
Sven Gowal, Sylvestre-Alvise Rebuffi, Olivia Wiles, Florian Stimberg, Dan Andrei Calian, Timothy A. Mann
Improving Robustness using Generated Data. NeurIPS (2021)
Iryna Korshunova, David Stutz, Alexander A. Alemi, Olivia Wiles, Sven Gowal
A Closer Look at the Adversarial Robustness of Information Bottleneck Models. CoRR (2021)
Sven Gowal, Po-Sen Huang, Aäron van den Oord, Timothy Mann, Pushmeet Kohli
Self-supervised Adversarial Robustness for the Low-label, High-data Regime. ICLR (2021)
Sven Gowal, Sylvestre-Alvise Rebuffi, Olivia Wiles, Florian Stimberg, Dan Andrei Calian, Timothy Mann
Improving Robustness using Generated Data. CoRR (2021)
Neel Nanda, Jonathan Uesato, Sven Gowal
An Empirical Investigation of Learning from Biased Toxicity Labels. CoRR (2021)
Leonard Berrada, Sumanth Dathathri, Krishnamurthy Dvijotham, Robert Stanforth, Rudy Bunel, Jonathan Uesato, Sven Gowal, M. Pawan Kumar
Make Sure You're Unsure: A Framework for Verifying Probabilistic Specifications. NeurIPS (2021)
Olivia Wiles, Sven Gowal, Florian Stimberg, Sylvestre-Alvise Rebuffi, Ira Ktena, Krishnamurthy Dvijotham, A. Taylan Cemgil
A Fine-Grained Analysis on Distribution Shift. CoRR (2021)
Sylvestre-Alvise Rebuffi, Sven Gowal, Dan A. Calian, Florian Stimberg, Olivia Wiles, Timothy Mann
Data Augmentation Can Improve Robustness. CoRR (2021)
Gabriel Dulac-Arnold, Nir Levine, Daniel J. Mankowitz, Jerry Li, Cosmin Paduraru, Sven Gowal, Todd Hester
Challenges of real-world reinforcement learning: definitions, benchmarks and analysis. Mach. Learn. 110 (9) (2021)
Dan A. Calian, Florian Stimberg, Olivia Wiles, Sylvestre-Alvise Rebuffi, András György, Timothy A. Mann, Sven Gowal
Defending Against Image Corruptions Through Adversarial Augmentations. CoRR (2021)
Leonard Berrada, Sumanth Dathathri, Krishnamurthy Dvijotham, Robert Stanforth, Rudy Bunel, Jonathan Uesato, Sven Gowal, M. Pawan Kumar
Verifying Probabilistic Specifications with Functional Lagrangians. CoRR (2021)
Sylvestre-Alvise Rebuffi, Sven Gowal, Dan Andrei Calian, Florian Stimberg, Olivia Wiles, Timothy A. Mann
Data Augmentation Can Improve Robustness. NeurIPS (2021)
Johannes Welbl, Po-Sen Huang, Robert Stanforth, Sven Gowal, Krishnamurthy (Dj) Dvijotham, Martin Szummer, Pushmeet Kohli
Towards Verified Robustness under Text Deletion Interventions. ICLR (2020)
Sven Gowal, Chongli Qin, Po-Sen Huang, A. Taylan Cemgil, Krishnamurthy Dvijotham, Timothy A. Mann, Pushmeet Kohli
Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations. CVPR (2020)
Sven Gowal, Chongli Qin, Jonathan Uesato, Timothy A. Mann, Pushmeet Kohli
Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples. CoRR (2020)
A. Taylan Cemgil, Sumedh Ghaisas, Krishnamurthy Dvijotham, Sven Gowal, Pushmeet Kohli
Autoencoding Variational Autoencoder. CoRR (2020)
Daniel Zoran, Mike Chrzanowski, Po-Sen Huang, Sven Gowal, Alex Mott, Pushmeet Kohli
Towards Robust Image Classification Using Sequential Attention Models. CVPR (2020)
Tsui-Wei Weng, Krishnamurthy (Dj) Dvijotham, Jonathan Uesato, Kai Xiao, Sven Gowal, Robert Stanforth, Pushmeet Kohli
Toward Evaluating Robustness of Deep Reinforcement Learning with Continuous Control. ICLR (2020)
Huan Zhang, Hongge Chen, Chaowei Xiao, Sven Gowal, Robert Stanforth, Bo Li, Duane S. Boning, Cho-Jui Hsieh
Towards Stable and Efficient Training of Verifiably Robust Neural Networks. ICLR (2020)
Krishnamurthy (Dj) Dvijotham, Jamie Hayes, Borja Balle, J. Zico Kolter, Chongli Qin, András György, Kai Xiao, Sven Gowal, Pushmeet Kohli
A Framework for robustness Certification of Smoothed Classifiers using F-Divergences. ICLR (2020)
Gabriel Dulac-Arnold, Nir Levine, Daniel J. Mankowitz, Jerry Li, Cosmin Paduraru, Sven Gowal, Todd Hester
An empirical investigation of the challenges of real-world reinforcement learning. CoRR (2020)
A. Taylan Cemgil, Sumedh Ghaisas, Krishnamurthy Dvijotham, Sven Gowal, Pushmeet Kohli
The Autoencoding Variational Autoencoder. NeurIPS (2020)
Timothy A. Mann, Sven Gowal, András György, Huiyi Hu, Ray Jiang, Balaji Lakshminarayanan, Prav Srinivasan
Learning from Delayed Outcomes via Proxies with Applications to Recommender Systems. ICML (2019)
Daniel Zoran, Mike Chrzanowski, Po-Sen Huang, Sven Gowal, Alex Mott, Pushmeet Kohli
Towards Robust Image Classification Using Sequential Attention Models. CoRR (2019)
Po-Sen Huang, Robert Stanforth, Johannes Welbl, Chris Dyer, Dani Yogatama, Sven Gowal, Krishnamurthy Dvijotham, Pushmeet Kohli
Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation. EMNLP/IJCNLP (1) (2019)
Po-Sen Huang, Robert Stanforth, Johannes Welbl, Chris Dyer, Dani Yogatama, Sven Gowal, Krishnamurthy Dvijotham, Pushmeet Kohli
Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation. CoRR (2019)
Chongli Qin, Krishnamurthy (Dj) Dvijotham, Brendan O'Donoghue, Rudy Bunel, Robert Stanforth, Sven Gowal, Jonathan Uesato, Grzegorz Swirszcz, Pushmeet Kohli
Verification of Non-Linear Specifications for Neural Networks. CoRR (2019)
Sven Gowal, Krishnamurthy Dvijotham, Robert Stanforth, Rudy Bunel, Chongli Qin, Jonathan Uesato, Relja Arandjelovic, Timothy Arthur Mann, Pushmeet Kohli
Scalable Verified Training for Provably Robust Image Classification. ICCV (2019)
Chongli Qin, James Martens, Sven Gowal, Dilip Krishnan, Krishnamurthy Dvijotham, Alhussein Fawzi, Soham De, Robert Stanforth, Pushmeet Kohli
Adversarial Robustness through Local Linearization. CoRR (2019)
Chongli Qin, James Martens, Sven Gowal, Dilip Krishnan, Krishnamurthy Dvijotham, Alhussein Fawzi, Soham De, Robert Stanforth, Pushmeet Kohli
Adversarial Robustness through Local Linearization. NeurIPS (2019)
Ray Jiang, Sven Gowal, Yuqiu Qian, Timothy A. Mann, Danilo J. Rezende
Beyond Greedy Ranking: Slate Optimization via List-CVAE. ICLR (Poster) (2019)
Krishnamurthy (Dj) Dvijotham, Robert Stanforth, Sven Gowal, Chongli Qin, Soham De, Pushmeet Kohli
Efficient Neural Network Verification with Exactness Characterization. UAI (2019)
Sven Gowal, Jonathan Uesato, Chongli Qin, Po-Sen Huang, Timothy A. Mann, Pushmeet Kohli
An Alternative Surrogate Loss for PGD-based Adversarial Testing. CoRR (2019)
Sven Gowal, Krishnamurthy Dvijotham, Robert Stanforth, Timothy A. Mann, Pushmeet Kohli
A Dual Approach to Verify and Train Deep Networks. IJCAI (2019)
Sven Gowal, Chongli Qin, Po-Sen Huang, A. Taylan Cemgil, Krishnamurthy Dvijotham, Timothy A. Mann, Pushmeet Kohli
Achieving Robustness in the Wild via Adversarial Mixing with Disentangled Representations. CoRR (2019)
Chongli Qin, Krishnamurthy (Dj) Dvijotham, Brendan O'Donoghue, Rudy Bunel, Robert Stanforth, Sven Gowal, Jonathan Uesato, Grzegorz Swirszcz, Pushmeet Kohli
Verification of Non-Linear Specifications for Neural Networks. ICLR (Poster) (2019)
Timothy A. Mann, Sven Gowal, Ray Jiang, Huiyi Hu, Balaji Lakshminarayanan, András György
Learning from Delayed Outcomes with Intermediate Observations. CoRR (2018)
Krishnamurthy Dvijotham, Robert Stanforth, Sven Gowal, Timothy A. Mann, Pushmeet Kohli
A Dual Approach to Scalable Verification of Deep Networks. UAI (2018)
Krishnamurthy Dvijotham, Robert Stanforth, Sven Gowal, Timothy A. Mann, Pushmeet Kohli
A Dual Approach to Scalable Verification of Deep Networks. CoRR (2018)
Sven Gowal, Krishnamurthy Dvijotham, Robert Stanforth, Rudy Bunel, Chongli Qin, Jonathan Uesato, Relja Arandjelovic, Timothy A. Mann, Pushmeet Kohli
On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models. CoRR (2018)
Ray Jiang, Sven Gowal, Timothy A. Mann, Danilo J. Rezende
Optimizing Slate Recommendations via Slate-CVAE. CoRR (2018)
Krishnamurthy Dvijotham, Sven Gowal, Robert Stanforth, Relja Arandjelovic, Brendan O'Donoghue, Jonathan Uesato, Pushmeet Kohli
Training verified learners with learned verifiers. CoRR (2018)
Sven Gowal, Alcherio Martinoli
Real-Time Optimized Rendezvous on Nonholonomic Resource-Constrained Robots. ISER (2012)
Adrian Cabrera, Sven Gowal, Alcherio Martinoli
A new collision warning system for lead vehicles in rear-end collisions. Intelligent Vehicles Symposium (2012)
Sven Gowal, Alcherio Martinoli
Real-time optimization of trajectories that guarantee the rendezvous of mobile robots. IROS (2012)
Sven Gowal, Alcherio Martinoli
Bayesian rendezvous for distributed robotic systems. IROS (2011)
Sven Gowal, Amanda Prorok, Alcherio Martinoli
Two-phase online calibration for infrared-based inter-robot positioning modules. IROS (2011)
Sven Gowal, Riccardo Falconi, Alcherio Martinoli
Local graph-based distributed control for safe highway platooning. IROS (2010)
Sven Gowal, Yizhen Zhang, Alcherio Martinoli
A realistic simulator for the design and evaluation of intelligent vehicles. ITSC (2010)
Riccardo Falconi, Sven Gowal, Alcherio Martinoli
Graph based distributed control of non-holonomic vehicles endowed with local positioning information engaged in escorting missions. ICRA (2010)
Riccardo Falconi, Sven Gowal, Jim Pugh, Alcherio Martinoli
Graph-based distributed control for non-holonomic vehicles engaged in a reconfiguration task using local positioning information. ROBOCOMM (2009)