Timon Gehr
Timon Gehr
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Titel
Zitiert von
Zitiert von
Jahr
Ai2: Safety and robustness certification of neural networks with abstract interpretation
T Gehr, M Mirman, D Drachsler-Cohen, P Tsankov, S Chaudhuri, ...
2018 IEEE Symposium on Security and Privacy (SP), 3-18, 2018
4902018
Differentiable abstract interpretation for provably robust neural networks
M Mirman, T Gehr, M Vechev
International Conference on Machine Learning, 3578-3586, 2018
2992018
An abstract domain for certifying neural networks
G Singh, T Gehr, M Püschel, M Vechev
Proceedings of the ACM on Programming Languages 3 (POPL), 1-30, 2019
2682019
Fast and effective robustness certification
G Singh, T Gehr, M Mirman, M Püschel, M Vechev
Advances in neural information processing systems 31, 2018
2502018
Boosting robustness certification of neural networks
G Singh, T Gehr, M Püschel, M Vechev
International Conference on Learning Representations, 2018
108*2018
PSI: Exact Symbolic Inference for Probabilistic Programs
T Gehr, S Misailovic, M Vechev
International Conference on Computer Aided Verification, 62-83, 2016
1042016
Certifying geometric robustness of neural networks
M Balunović, M Baader, G Singh, T Gehr, M Vechev
Advances in Neural Information Processing Systems 32, 2019
602019
DL2: training and querying neural networks with logic
M Fischer, M Balunovic, D Drachsler-Cohen, T Gehr, C Zhang, M Vechev
International Conference on Machine Learning, 1931-1941, 2019
582019
Dp-finder: Finding differential privacy violations by sampling and optimization
B Bichsel, T Gehr, D Drachsler-Cohen, P Tsankov, M Vechev
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications …, 2018
352018
Learning commutativity specifications
T Gehr, D Dimitrov, M Vechev
International Conference on Computer Aided Verification, 307-323, 2015
352015
Silq: A high-level quantum language with safe uncomputation and intuitive semantics
B Bichsel, M Baader, T Gehr, M Vechev
Proceedings of the 41st ACM SIGPLAN Conference on Programming Language …, 2020
342020
Fine-grained semantics for probabilistic programs
B Bichsel, T Gehr, M Vechev
European Symposium on Programming, 145-185, 2018
212018
Bayonet: probabilistic inference for networks
T Gehr, S Misailovic, P Tsankov, L Vanbever, P Wiesmann, M Vechev
ACM SIGPLAN Notices 53 (4), 586-602, 2018
162018
Synthesis of probabilistic privacy enforcement
M Kučera, P Tsankov, T Gehr, M Guarnieri, M Vechev
Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications …, 2017
162017
Incremental inference for probabilistic programs
M Cusumano-Towner, B Bichsel, T Gehr, M Vechev, VK Mansinghka
Proceedings of the 39th ACM SIGPLAN Conference on Programming Language …, 2018
142018
Probabilistic verification of network configurations
S Steffen, T Gehr, P Tsankov, L Vanbever, M Vechev
Proceedings of the Annual conference of the ACM Special Interest Group on …, 2020
102020
λPSI: exact inference for higher-order probabilistic programs
T Gehr, S Steffen, M Vechev
Proceedings of the 41st ACM SIGPLAN Conference on Programming Language …, 2020
62020
Robustness certification with generative models
M Mirman, A Hägele, P Bielik, T Gehr, M Vechev
Proceedings of the 42nd ACM SIGPLAN International Conference on Programming …, 2021
52021
Training Neural Machines with Partial Traces
M Mirman, D Dimitrov, P Djordjevich, T Gehr, M Vechev
1*2018
Scalable Inference of Symbolic Adversarial Examples
DI Dimitrov, G Singh, T Gehr, M Vechev
arXiv preprint arXiv:2007.12133, 2020
2020
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