Sven Gowal - RankMe

76 papers A* 24A 7B 1Journal 37Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	On the Difficulty of Constructing a Robust and Publicly-Detectable Watermark. AISTATS Jaiden Fairoze, Guillermo Ortiz-Jiménez, Mel Vecerík, Somesh Jha, Sven Gowal
2025	J	`jnl`	On the Difficulty of Constructing a Robust and Publicly-Detectable Watermark. CoRR Jaiden Fairoze, Guillermo Ortiz-Jiménez, Mel Vecerík, Somesh Jha, Sven Gowal
2025	J	`jnl`	SynthID-Image: Image watermarking at internet scale. CoRR Sven Gowal, Rudy Bunel, Florian Stimberg, David Stutz, Guillermo Ortiz-Jiménez, Christina Kouridi, Mel Vecerík, Jamie Hayes, Sylvestre-Alvise Rebuffi, Paul Bernard, Chris Gamble, Miklós Z. Horváth, Fabian Kaczmarczyck, Alex Kaskasoli, Aleksandar Petrov, Ilia Shumailov, Meghana Thotakuri, Olivia Wiles, Jessica Yung, Zahra Ahmed, Victor Martin, Simon Rosen, Christopher Savcak, Armin Senoner, Nidhi Vyas, Pushmeet Kohli
2024	A*	`conf`	Evaluating Model Bias Requires Characterizing its Mistakes. ICML Isabela Albuquerque, Jessica Schrouff, David Warde-Farley, Ali Taylan Cemgil, Sven Gowal, Olivia Wiles
2024	J	`jnl`	Evaluating Model Bias Requires Characterizing its Mistakes. CoRR Isabela Albuquerque, Jessica Schrouff, David Warde-Farley, A. Taylan Cemgil, Sven Gowal, Olivia Wiles
2024	J	`jnl`	Scalable watermarking for identifying large language model outputs. Nat. Sumanth Dathathri, Abigail See, Sumedh Ghaisas, Po-Sen Huang, Rob McAdam, Johannes Welbl, Vandana Bachani, Alex Kaskasoli, Robert Stanforth, Tatiana Matejovicova, Jamie Hayes, Nidhi Vyas, Majd Al Merey, Jonah Brown-Cohen, Rudy Bunel, Borja Balle, A. Taylan Cemgil, Zahra Ahmed, Kitty Stacpoole, Ilia Shumailov, Ciprian Baetu, Sven Gowal, Demis Hassabis, Pushmeet Kohli
2023	A*	`conf`	Benchmarking Robustness to Adversarial Image Obfuscations. NeurIPS 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
2023	J	`jnl`	Benchmarking Robustness to Adversarial Image Obfuscations. CoRR 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
2023	J	`jnl`	Differentially Private Diffusion Models Generate Useful Synthetic Images. CoRR Sahra Ghalebikesabi, Leonard Berrada, Sven Gowal, Ira Ktena, Robert Stanforth, Jamie Hayes, Soham De, Samuel L. Smith, Olivia Wiles, Borja Balle
2023	J	`jnl`	Generative models improve fairness of medical classifiers under distribution shifts. CoRR 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
2023	A*	`conf`	Revisiting adapters with adversarial training. ICLR Sylvestre-Alvise Rebuffi, Francesco Croce, Sven Gowal
2023	A*	`conf`	Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts. CVPR Francesco Croce, Sylvestre-Alvise Rebuffi, Evan Shelhamer, Sven Gowal
2023	J	`jnl`	Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts. CoRR Francesco Croce, Sylvestre-Alvise Rebuffi, Evan Shelhamer, Sven Gowal
2022	A*	`conf`	A Fine-Grained Analysis on Distribution Shift. ICLR Olivia Wiles, Sven Gowal, Florian Stimberg, Sylvestre-Alvise Rebuffi, Ira Ktena, Krishnamurthy Dvijotham, Ali Taylan Cemgil
2022	J	`jnl`	Competition-Level Code Generation with AlphaCode. CoRR 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
2022	A*	`conf`	Defending Against Image Corruptions Through Adversarial Augmentations. ICLR Dan Andrei Calian, Florian Stimberg, Olivia Wiles, Sylvestre-Alvise Rebuffi, András György, Timothy A. Mann, Sven Gowal
2022	J	`jnl`	Discovering Bugs in Vision Models using Off-the-shelf Image Generation and Captioning. CoRR Olivia Wiles, Isabela Albuquerque, Sven Gowal
2022	A*	`conf`	Evaluating the Adversarial Robustness of Adaptive Test-time Defenses. ICML Francesco Croce, Sven Gowal, Thomas Brunner, Evan Shelhamer, Matthias Hein, A. Taylan Cemgil
2022	J	`jnl`	Evaluating the Adversarial Robustness of Adaptive Test-time Defenses. CoRR Francesco Croce, Sven Gowal, Thomas Brunner, Evan Shelhamer, Matthias Hein, A. Taylan Cemgil
2022	A*	`conf`	Hindering Adversarial Attacks with Implicit Neural Representations. ICML Andrei A. Rusu, Dan Andrei Calian, Sven Gowal, Raia Hadsell
2022	J	`jnl`	Hindering Adversarial Attacks with Implicit Neural Representations. CoRR Andrei A. Rusu, Dan A. Calian, Sven Gowal, Raia Hadsell
2022	J	`jnl`	Revisiting adapters with adversarial training. CoRR Sylvestre-Alvise Rebuffi, Francesco Croce, Sven Gowal
2022	J	`jnl`	Robustness of Epinets against Distributional Shifts. CoRR Xiuyuan Lu, Ian Osband, Seyed Mohammad Asghari, Sven Gowal, Vikranth Dwaracherla, Zheng Wen, Benjamin Van Roy
2021	J	`jnl`	A Closer Look at the Adversarial Robustness of Information Bottleneck Models. CoRR Iryna Korshunova, David Stutz, Alexander A. Alemi, Olivia Wiles, Sven Gowal
2021	J	`jnl`	A Fine-Grained Analysis on Distribution Shift. CoRR Olivia Wiles, Sven Gowal, Florian Stimberg, Sylvestre-Alvise Rebuffi, Ira Ktena, Krishnamurthy Dvijotham, A. Taylan Cemgil
2021	J	`jnl`	An Empirical Investigation of Learning from Biased Toxicity Labels. CoRR Neel Nanda, Jonathan Uesato, Sven Gowal
2021	J	`jnl`	Challenges of real-world reinforcement learning: definitions, benchmarks and analysis. Mach. Learn. Gabriel Dulac-Arnold, Nir Levine, Daniel J. Mankowitz, Jerry Li, Cosmin Paduraru, Sven Gowal, Todd Hester
2021	A*	`conf`	Data Augmentation Can Improve Robustness. NeurIPS Sylvestre-Alvise Rebuffi, Sven Gowal, Dan Andrei Calian, Florian Stimberg, Olivia Wiles, Timothy A. Mann
2021	J	`jnl`	Data Augmentation Can Improve Robustness. CoRR Sylvestre-Alvise Rebuffi, Sven Gowal, Dan A. Calian, Florian Stimberg, Olivia Wiles, Timothy A. Mann
2021	J	`jnl`	Defending Against Image Corruptions Through Adversarial Augmentations. CoRR Dan A. Calian, Florian Stimberg, Olivia Wiles, Sylvestre-Alvise Rebuffi, András György, Timothy A. Mann, Sven Gowal
2021	J	`jnl`	Fixing Data Augmentation to Improve Adversarial Robustness. CoRR Sylvestre-Alvise Rebuffi, Sven Gowal, Dan A. Calian, Florian Stimberg, Olivia Wiles, Timothy A. Mann
2021	A*	`conf`	Improving Robustness using Generated Data. NeurIPS Sven Gowal, Sylvestre-Alvise Rebuffi, Olivia Wiles, Florian Stimberg, Dan Andrei Calian, Timothy A. Mann
2021	J	`jnl`	Improving Robustness using Generated Data. CoRR Sven Gowal, Sylvestre-Alvise Rebuffi, Olivia Wiles, Florian Stimberg, Dan Andrei Calian, Timothy A. Mann
2021	A*	`conf`	Make Sure You're Unsure: A Framework for Verifying Probabilistic Specifications. NeurIPS Leonard Berrada, Sumanth Dathathri, Krishnamurthy Dvijotham, Robert Stanforth, Rudy Bunel, Jonathan Uesato, Sven Gowal, M. Pawan Kumar
2021	A*	`conf`	Self-supervised Adversarial Robustness for the Low-label, High-data Regime. ICLR Sven Gowal, Po-Sen Huang, Aäron van den Oord, Timothy A. Mann, Pushmeet Kohli
2021	J	`jnl`	Verifying Probabilistic Specifications with Functional Lagrangians. CoRR Leonard Berrada, Sumanth Dathathri, Krishnamurthy Dvijotham, Robert Stanforth, Rudy Bunel, Jonathan Uesato, Sven Gowal, M. Pawan Kumar
2020	A*	`conf`	A Framework for robustness Certification of Smoothed Classifiers using F-Divergences. ICLR Krishnamurthy (Dj) Dvijotham, Jamie Hayes, Borja Balle, J. Zico Kolter, Chongli Qin, András György, Kai Xiao, Sven Gowal, Pushmeet Kohli
2020	A*	`conf`	Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations. CVPR Sven Gowal, Chongli Qin, Po-Sen Huang, A. Taylan Cemgil, Krishnamurthy Dvijotham, Timothy A. Mann, Pushmeet Kohli
2020	J	`jnl`	An empirical investigation of the challenges of real-world reinforcement learning. CoRR Gabriel Dulac-Arnold, Nir Levine, Daniel J. Mankowitz, Jerry Li, Cosmin Paduraru, Sven Gowal, Todd Hester
2020	J	`jnl`	Autoencoding Variational Autoencoder. CoRR A. Taylan Cemgil, Sumedh Ghaisas, Krishnamurthy Dvijotham, Sven Gowal, Pushmeet Kohli
2020	A*	`conf`	The Autoencoding Variational Autoencoder. NeurIPS A. Taylan Cemgil, Sumedh Ghaisas, Krishnamurthy Dvijotham, Sven Gowal, Pushmeet Kohli
2020	A*	`conf`	Toward Evaluating Robustness of Deep Reinforcement Learning with Continuous Control. ICLR Tsui-Wei Weng, Krishnamurthy (Dj) Dvijotham, Jonathan Uesato, Kai Xiao, Sven Gowal, Robert Stanforth, Pushmeet Kohli
2020	A*	`conf`	Towards Robust Image Classification Using Sequential Attention Models. CVPR Daniel Zoran, Mike Chrzanowski, Po-Sen Huang, Sven Gowal, Alex Mott, Pushmeet Kohli
2020	A*	`conf`	Towards Stable and Efficient Training of Verifiably Robust Neural Networks. ICLR Huan Zhang, Hongge Chen, Chaowei Xiao, Sven Gowal, Robert Stanforth, Bo Li, Duane S. Boning, Cho-Jui Hsieh
2020	A*	`conf`	Towards Verified Robustness under Text Deletion Interventions. ICLR Johannes Welbl, Po-Sen Huang, Robert Stanforth, Sven Gowal, Krishnamurthy (Dj) Dvijotham, Martin Szummer, Pushmeet Kohli
2020	J	`jnl`	Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples. CoRR Sven Gowal, Chongli Qin, Jonathan Uesato, Timothy A. Mann, Pushmeet Kohli
2019	A*	`conf`	A Dual Approach to Verify and Train Deep Networks. IJCAI Sven Gowal, Krishnamurthy Dvijotham, Robert Stanforth, Timothy A. Mann, Pushmeet Kohli
2019	J	`jnl`	Achieving Robustness in the Wild via Adversarial Mixing with Disentangled Representations. CoRR Sven Gowal, Chongli Qin, Po-Sen Huang, A. Taylan Cemgil, Krishnamurthy Dvijotham, Timothy A. Mann, Pushmeet Kohli
2019	—	`conf`	Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation. EMNLP/IJCNLP (1) Po-Sen Huang, Robert Stanforth, Johannes Welbl, Chris Dyer, Dani Yogatama, Sven Gowal, Krishnamurthy Dvijotham, Pushmeet Kohli
2019	J	`jnl`	Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation. CoRR Po-Sen Huang, Robert Stanforth, Johannes Welbl, Chris Dyer, Dani Yogatama, Sven Gowal, Krishnamurthy Dvijotham, Pushmeet Kohli
2019	A*	`conf`	Adversarial Robustness through Local Linearization. NeurIPS Chongli Qin, James Martens, Sven Gowal, Dilip Krishnan, Krishnamurthy Dvijotham, Alhussein Fawzi, Soham De, Robert Stanforth, Pushmeet Kohli
2019	J	`jnl`	Adversarial Robustness through Local Linearization. CoRR Chongli Qin, James Martens, Sven Gowal, Dilip Krishnan, Krishnamurthy Dvijotham, Alhussein Fawzi, Soham De, Robert Stanforth, Pushmeet Kohli
2019	J	`jnl`	An Alternative Surrogate Loss for PGD-based Adversarial Testing. CoRR Sven Gowal, Jonathan Uesato, Chongli Qin, Po-Sen Huang, Timothy A. Mann, Pushmeet Kohli
2019	—	`conf`	Beyond Greedy Ranking: Slate Optimization via List-CVAE. ICLR (Poster) Ray Jiang, Sven Gowal, Yuqiu Qian, Timothy A. Mann, Danilo J. Rezende
2019	A	`conf`	Efficient Neural Network Verification with Exactness Characterization. UAI Krishnamurthy (Dj) Dvijotham, Robert Stanforth, Sven Gowal, Chongli Qin, Soham De, Pushmeet Kohli
2019	A*	`conf`	Learning from Delayed Outcomes via Proxies with Applications to Recommender Systems. ICML Timothy A. Mann, Sven Gowal, András György, Huiyi Hu, Ray Jiang, Balaji Lakshminarayanan, Prav Srinivasan
2019	A*	`conf`	Scalable Verified Training for Provably Robust Image Classification. ICCV Sven Gowal, Krishnamurthy Dvijotham, Robert Stanforth, Rudy Bunel, Chongli Qin, Jonathan Uesato, Relja Arandjelovic, Timothy Arthur Mann, Pushmeet Kohli
2019	J	`jnl`	Towards Robust Image Classification Using Sequential Attention Models. CoRR Daniel Zoran, Mike Chrzanowski, Po-Sen Huang, Sven Gowal, Alex Mott, Pushmeet Kohli
2019	—	`conf`	Verification of Non-Linear Specifications for Neural Networks. ICLR (Poster) Chongli Qin, Krishnamurthy (Dj) Dvijotham, Brendan O'Donoghue, Rudy Bunel, Robert Stanforth, Sven Gowal, Jonathan Uesato, Grzegorz Swirszcz, Pushmeet Kohli
2019	J	`jnl`	Verification of Non-Linear Specifications for Neural Networks. CoRR Chongli Qin, Krishnamurthy (Dj) Dvijotham, Brendan O'Donoghue, Rudy Bunel, Robert Stanforth, Sven Gowal, Jonathan Uesato, Grzegorz Swirszcz, Pushmeet Kohli
2018	A	`conf`	A Dual Approach to Scalable Verification of Deep Networks. UAI Krishnamurthy Dvijotham, Robert Stanforth, Sven Gowal, Timothy A. Mann, Pushmeet Kohli
2018	J	`jnl`	A Dual Approach to Scalable Verification of Deep Networks. CoRR Krishnamurthy Dvijotham, Robert Stanforth, Sven Gowal, Timothy A. Mann, Pushmeet Kohli
2018	J	`jnl`	Learning from Delayed Outcomes with Intermediate Observations. CoRR Timothy A. Mann, Sven Gowal, Ray Jiang, Huiyi Hu, Balaji Lakshminarayanan, András György
2018	J	`jnl`	On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models. CoRR Sven Gowal, Krishnamurthy Dvijotham, Robert Stanforth, Rudy Bunel, Chongli Qin, Jonathan Uesato, Relja Arandjelovic, Timothy A. Mann, Pushmeet Kohli
2018	J	`jnl`	Optimizing Slate Recommendations via Slate-CVAE. CoRR Ray Jiang, Sven Gowal, Timothy A. Mann, Danilo J. Rezende
2018	J	`jnl`	Training verified learners with learned verifiers. CoRR Krishnamurthy Dvijotham, Sven Gowal, Robert Stanforth, Relja Arandjelovic, Brendan O'Donoghue, Jonathan Uesato, Pushmeet Kohli
2013	—	`—`	A Framework for Graph-Based Distributed Rendezvous of Nonholonomic Multi-Robot Systems. Sven Gowal
2012	B	`conf`	A new collision warning system for lead vehicles in rear-end collisions. Intelligent Vehicles Symposium Adrian Cabrera, Sven Gowal, Alcherio Martinoli
2012	—	`conf`	Real-Time Optimized Rendezvous on Nonholonomic Resource-Constrained Robots. ISER Sven Gowal, Alcherio Martinoli
2012	A	`conf`	Real-time optimization of trajectories that guarantee the rendezvous of mobile robots. IROS Sven Gowal, Alcherio Martinoli
2011	A	`conf`	Bayesian rendezvous for distributed robotic systems. IROS Sven Gowal, Alcherio Martinoli
2011	A	`conf`	Two-phase online calibration for infrared-based inter-robot positioning modules. IROS Sven Gowal, Amanda Prorok, Alcherio Martinoli
2010	—	`conf`	A realistic simulator for the design and evaluation of intelligent vehicles. ITSC Sven Gowal, Yizhen Zhang, Alcherio Martinoli
2010	A*	`conf`	Graph based distributed control of non-holonomic vehicles endowed with local positioning information engaged in escorting missions. ICRA Riccardo Falconi, Sven Gowal, Alcherio Martinoli
2010	A	`conf`	Local graph-based distributed control for safe highway platooning. IROS Sven Gowal, Riccardo Falconi, Alcherio Martinoli
2009	—	`conf`	Graph-based distributed control for non-holonomic vehicles engaged in a reconfiguration task using local positioning information. ROBOCOMM Riccardo Falconi, Sven Gowal, Jim Pugh, Alcherio Martinoli