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2020 – today
- 2024
[c37]Isabela Albuquerque, Jessica Schrouff, David Warde-Farley, Ali Taylan Cemgil, Sven Gowal, Olivia Wiles:
Evaluating Model Bias Requires Characterizing its Mistakes. ICML 2024- [i33]Isabela Albuquerque, Jessica Schrouff, David Warde-Farley, A. Taylan Cemgil, Sven Gowal, Olivia Wiles:
Evaluating Model Bias Requires Characterizing its Mistakes. CoRR abs/2407.10633 (2024) - 2023
- [c36]Francesco Croce, Sylvestre-Alvise Rebuffi, Evan Shelhamer, Sven Gowal:
Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts. CVPR 2023: 12313-12323 - [c35]Sylvestre-Alvise Rebuffi, Francesco Croce, Sven Gowal:
Revisiting adapters with adversarial training. ICLR 2023 - [c34]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 - [i32]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 abs/2301.12993 (2023) - [i31]Francesco Croce, Sylvestre-Alvise Rebuffi, Evan Shelhamer, Sven Gowal:
Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts. CoRR abs/2302.10164 (2023) - [i30]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 abs/2302.13861 (2023) - [i29]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 abs/2304.09218 (2023) - 2022
- [c33]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 - [c32]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 - [c31]Francesco Croce, Sven Gowal, Thomas Brunner, Evan Shelhamer, Matthias Hein, A. Taylan Cemgil:
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses. ICML 2022: 4421-4435 - [c30]Andrei A. Rusu, Dan Andrei Calian, Sven Gowal, Raia Hadsell:
Hindering Adversarial Attacks with Implicit Neural Representations. ICML 2022: 18910-18934 - [i28]Francesco Croce, Sven Gowal, Thomas Brunner, Evan Shelhamer, Matthias Hein, A. Taylan Cemgil:
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses. CoRR abs/2202.13711 (2022) - [i27]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 abs/2203.07814 (2022) - [i26]Xiuyuan Lu, Ian Osband, Seyed Mohammad Asghari, Sven Gowal, Vikranth Dwaracherla, Zheng Wen, Benjamin Van Roy:
Robustness of Epinets against Distributional Shifts. CoRR abs/2207.00137 (2022) - [i25]Olivia Wiles, Isabela Albuquerque, Sven Gowal:
Discovering Bugs in Vision Models using Off-the-shelf Image Generation and Captioning. CoRR abs/2208.08831 (2022) - [i24]Sylvestre-Alvise Rebuffi, Francesco Croce, Sven Gowal:
Revisiting adapters with adversarial training. CoRR abs/2210.04886 (2022) - [i23]Andrei A. Rusu, Dan A. Calian, Sven Gowal, Raia Hadsell:
Hindering Adversarial Attacks with Implicit Neural Representations. CoRR abs/2210.13982 (2022) - 2021
- [j1]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): 2419-2468 (2021) - [c29]Sven Gowal, Po-Sen Huang, Aäron van den Oord, Timothy A. Mann, Pushmeet Kohli:
Self-supervised Adversarial Robustness for the Low-label, High-data Regime. ICLR 2021 - [c28]Sven Gowal, Sylvestre-Alvise Rebuffi, Olivia Wiles, Florian Stimberg, Dan Andrei Calian, Timothy A. Mann:
Improving Robustness using Generated Data. NeurIPS 2021: 4218-4233 - [c27]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: 11136-11147 - [c26]Sylvestre-Alvise Rebuffi, Sven Gowal, Dan Andrei Calian, Florian Stimberg, Olivia Wiles, Timothy A. Mann:
Data Augmentation Can Improve Robustness. NeurIPS 2021: 29935-29948 - [i22]Leonard Berrada, Sumanth Dathathri, Krishnamurthy Dvijotham, Robert Stanforth, Rudy Bunel, Jonathan Uesato, Sven Gowal, M. Pawan Kumar:
Verifying Probabilistic Specifications with Functional Lagrangians. CoRR abs/2102.09479 (2021) - [i21]Sylvestre-Alvise Rebuffi, Sven Gowal, Dan A. Calian, Florian Stimberg, Olivia Wiles, Timothy A. Mann:
Fixing Data Augmentation to Improve Adversarial Robustness. CoRR abs/2103.01946 (2021) - [i20]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 abs/2104.01086 (2021) - [i19]Iryna Korshunova, David Stutz
, Alexander A. Alemi, Olivia Wiles, Sven Gowal:
A Closer Look at the Adversarial Robustness of Information Bottleneck Models. CoRR abs/2107.05712 (2021) - [i18]Neel Nanda, Jonathan Uesato, Sven Gowal:
An Empirical Investigation of Learning from Biased Toxicity Labels. CoRR abs/2110.01577 (2021) - [i17]Sven Gowal, Sylvestre-Alvise Rebuffi, Olivia Wiles, Florian Stimberg, Dan Andrei Calian, Timothy A. Mann:
Improving Robustness using Generated Data. CoRR abs/2110.09468 (2021) - [i16]Olivia Wiles, Sven Gowal, Florian Stimberg, Sylvestre-Alvise Rebuffi, Ira Ktena, Krishnamurthy Dvijotham, A. Taylan Cemgil:
A Fine-Grained Analysis on Distribution Shift. CoRR abs/2110.11328 (2021) - [i15]Sylvestre-Alvise Rebuffi, Sven Gowal, Dan A. Calian, Florian Stimberg, Olivia Wiles, Timothy A. Mann:
Data Augmentation Can Improve Robustness. CoRR abs/2111.05328 (2021) - 2020
- [c25]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: 1208-1217 - [c24]Daniel Zoran, Mike Chrzanowski, Po-Sen Huang, Sven Gowal, Alex Mott, Pushmeet Kohli:
Towards Robust Image Classification Using Sequential Attention Models. CVPR 2020: 9480-9489 - [c23]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 - [c22]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 - [c21]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 - [c20]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 - [c19]A. Taylan Cemgil, Sumedh Ghaisas, Krishnamurthy Dvijotham, Sven Gowal, Pushmeet Kohli:
The Autoencoding Variational Autoencoder. NeurIPS 2020 - [i14]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 abs/2003.11881 (2020) - [i13]Sven Gowal, Chongli Qin, Jonathan Uesato, Timothy A. Mann, Pushmeet Kohli:
Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples. CoRR abs/2010.03593 (2020) - [i12]A. Taylan Cemgil, Sumedh Ghaisas, Krishnamurthy Dvijotham, Sven Gowal, Pushmeet Kohli:
Autoencoding Variational Autoencoder. CoRR abs/2012.03715 (2020)
2010 – 2019
- 2019
- [c18]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: 4081-4091 - [c17]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: 4841-4850 - [c16]Ray Jiang, Sven Gowal, Yuqiu Qian, Timothy A. Mann, Danilo J. Rezende:
Beyond Greedy Ranking: Slate Optimization via List-CVAE. ICLR (Poster) 2019 - [c15]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 - [c14]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: 4324-4332 - [c13]Sven Gowal, Krishnamurthy Dvijotham, Robert Stanforth, Timothy A. Mann, Pushmeet Kohli:
A Dual Approach to Verify and Train Deep Networks. IJCAI 2019: 6156-6160 - [c12]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: 13824-13833 - [c11]Krishnamurthy (Dj) Dvijotham, Robert Stanforth, Sven Gowal, Chongli Qin, Soham De, Pushmeet Kohli:
Efficient Neural Network Verification with Exactness Characterization. UAI 2019: 497-507 - [i11]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 abs/1902.09592 (2019) - [i10]Chongli Qin, James Martens, Sven Gowal, Dilip Krishnan, Krishnamurthy Dvijotham, Alhussein Fawzi, Soham De, Robert Stanforth, Pushmeet Kohli:
Adversarial Robustness through Local Linearization. CoRR abs/1907.02610 (2019) - [i9]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 abs/1909.01492 (2019) - [i8]Sven Gowal, Jonathan Uesato, Chongli Qin, Po-Sen Huang, Timothy A. Mann, Pushmeet Kohli:
An Alternative Surrogate Loss for PGD-based Adversarial Testing. CoRR abs/1910.09338 (2019) - [i7]Daniel Zoran, Mike Chrzanowski, Po-Sen Huang, Sven Gowal, Alex Mott, Pushmeet Kohli:
Towards Robust Image Classification Using Sequential Attention Models. CoRR abs/1912.02184 (2019) - [i6]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 abs/1912.03192 (2019) - 2018
- [c10]Krishnamurthy Dvijotham, Robert Stanforth, Sven Gowal, Timothy A. Mann, Pushmeet Kohli:
A Dual Approach to Scalable Verification of Deep Networks. UAI 2018: 550-559 - [i5]Ray Jiang, Sven Gowal, Timothy A. Mann, Danilo J. Rezende:
Optimizing Slate Recommendations via Slate-CVAE. CoRR abs/1803.01682 (2018) - [i4]Krishnamurthy Dvijotham, Robert Stanforth, Sven Gowal, Timothy A. Mann, Pushmeet Kohli:
A Dual Approach to Scalable Verification of Deep Networks. CoRR abs/1803.06567 (2018) - [i3]Krishnamurthy Dvijotham, Sven Gowal, Robert Stanforth, Relja Arandjelovic, Brendan O'Donoghue, Jonathan Uesato, Pushmeet Kohli:
Training verified learners with learned verifiers. CoRR abs/1805.10265 (2018) - [i2]Timothy A. Mann, Sven Gowal, Ray Jiang, Huiyi Hu, Balaji Lakshminarayanan, András György:
Learning from Delayed Outcomes with Intermediate Observations. CoRR abs/1807.09387 (2018) - [i1]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 abs/1810.12715 (2018) - 2013
- [b1]Sven Gowal:
A Framework for Graph-Based Distributed Rendezvous of Nonholonomic Multi-Robot Systems. EPFL, Switzerland, 2013 - 2012
- [c9]Sven Gowal, Alcherio Martinoli:
Real-time optimization of trajectories that guarantee the rendezvous of mobile robots. IROS 2012: 3518-3525 - [c8]Sven Gowal, Alcherio Martinoli:
Real-Time Optimized Rendezvous on Nonholonomic Resource-Constrained Robots. ISER 2012: 353-368 - [c7]Adrian Cabrera, Sven Gowal, Alcherio Martinoli:
A new collision warning system for lead vehicles in rear-end collisions. Intelligent Vehicles Symposium 2012: 674-679 - 2011
- [c6]Sven Gowal, Alcherio Martinoli:
Bayesian rendezvous for distributed robotic systems. IROS 2011: 2765-2771 - [c5]Sven Gowal, Amanda Prorok, Alcherio Martinoli:
Two-phase online calibration for infrared-based inter-robot positioning modules. IROS 2011: 3313-3319 - 2010
- [c4]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: 3207-3214 - [c3]Sven Gowal, Riccardo Falconi, Alcherio Martinoli:
Local graph-based distributed control for safe highway platooning. IROS 2010: 6070-6076 - [c2]Sven Gowal, Yizhen Zhang, Alcherio Martinoli:
A realistic simulator for the design and evaluation of intelligent vehicles. ITSC 2010: 1039-1044
2000 – 2009
- 2009
- [c1]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: 1-6
Coauthor Index
A. Taylan Cemgil
aka: Ali Taylan Cemgil
aka: Ali Taylan Cemgil
Krishnamurthy Dvijotham
aka: Krishnamurthy (Dj) Dvijotham
aka: Krishnamurthy (Dj) Dvijotham
Timothy A. Mann
aka: Timothy Arthur Mann
aka: Timothy Arthur Mann
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