|A Dual Approach to Scalable Verification of Deep Networks.|
K Dvijotham, R Stanforth, S Gowal, TA Mann, P Kohli
UAI 1, 2, 2018
|On the effectiveness of interval bound propagation for training verifiably robust models|
S Gowal, K Dvijotham, R Stanforth, R Bunel, C Qin, J Uesato, ...
arXiv preprint arXiv:1810.12715, 2018
|Training verified learners with learned verifiers|
K Dvijotham, S Gowal, R Stanforth, R Arandjelovic, B O'Donoghue, ...
arXiv preprint arXiv:1805.10265, 2018
|Adversarial robustness through local linearization|
C Qin, J Martens, S Gowal, D Krishnan, K Dvijotham, A Fawzi, S De, ...
Advances in Neural Information Processing Systems, 13847-13856, 2019
|Towards stable and efficient training of verifiably robust neural networks|
H Zhang, H Chen, C Xiao, S Gowal, R Stanforth, B Li, D Boning, CJ Hsieh
arXiv preprint arXiv:1906.06316, 2019
|Achieving verified robustness to symbol substitutions via interval bound propagation|
PS Huang, R Stanforth, J Welbl, C Dyer, D Yogatama, S Gowal, ...
arXiv preprint arXiv:1909.01492, 2019
|Graph based distributed control of non-holonomic vehicles endowed with local positioning information engaged in escorting missions|
R Falconi, S Gowal, A Martinoli
2010 IEEE International Conference on Robotics and Automation, 3207-3214, 2010
|A new collision warning system for lead vehicles in rear-end collisions|
A Cabrera, S Gowal, A Martinoli
2012 IEEE Intelligent Vehicles Symposium, 674-679, 2012
|Verification of non-linear specifications for neural networks|
C Qin, B O'Donoghue, R Bunel, R Stanforth, S Gowal, J Uesato, ...
arXiv preprint arXiv:1902.09592, 2019
|An alternative surrogate loss for pgd-based adversarial testing|
S Gowal, J Uesato, C Qin, PS Huang, T Mann, P Kohli
arXiv preprint arXiv:1910.09338, 2019
|Beyond greedy ranking: Slate optimization via list-CVAE|
R Jiang, S Gowal, TA Mann, DJ Rezende
arXiv preprint arXiv:1803.01682, 2018
|Comment on: A Validated Mathematical Model of Cell-Mediated Immune Response to Tumor Growth|
S Gowal, M de Giacomi, JY Le Boudec
Cancer Research 67 (17), 8419, 2007
|A realistic simulator for the design and evaluation of intelligent vehicles|
S Gowal, Y Zhang, A Martinoli
13th International IEEE Conference on Intelligent Transportation Systems …, 2010
|Real-time Optimization of Trajectories that Guarantee the Rendezvous of Mobile Robots|
S Gowal, A Martinoli
IEEE/RSJ International Conference on Intelligent Robots and Systems, 3518-3525, 2012
|Local graph-based distributed control for safe highway platooning|
S Gowal, R Falconi, A Martinoli
2010 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2010
|Graph-based distributed control for non-holonomic vehicles engaged in a reconfiguration task using local positioning information|
R Falconi, S Gowal, J Pugh, A Martinoli
2009 Second International Conference on Robot Communication and Coordination …, 2009
|Efficient neural network verification with exactness characterization|
KD Dvijotham, R Stanforth, S Gowal, C Qin, S De, P Kohli
Uncertainty in Artificial Intelligence, 497-507, 2020
|A framework for robustness certification of smoothed classifiers using f-divergences|
KD Dvijotham, J Hayes, B Balle, Z Kolter, C Qin, A Gyorgy, K Xiao, ...
International Conference on Learning Representations, 2019
|Scalable verified training for provably robust image classification|
S Gowal, KD Dvijotham, R Stanforth, R Bunel, C Qin, J Uesato, ...
Proceedings of the IEEE International Conference on Computer Vision, 4842-4851, 2019
|An empirical investigation of the challenges of real-world reinforcement learning|
G Dulac-Arnold, N Levine, DJ Mankowitz, J Li, C Paduraru, S Gowal, ...
arXiv preprint arXiv:2003.11881, 2020