Gagandeep Singh
Gagandeep Singh
Assistant Professor, Department of Computer Science, UIUC
Verified email at illinois.edu - Homepage
Title
Cited by
Cited by
Year
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
2802019
Fast and Effective Robustness Certification.
G Singh, T Gehr, M Mirman, M Püschel, MT Vechev
NeurIPS 1 (4), 6, 2018
2642018
Boosting robustness certification of neural networks
G Singh, T Gehr, M Püschel, M Vechev
International Conference on Learning Representations, 2018
110*2018
Fast polyhedra abstract domain
G Singh, M Püschel, M Vechev
Proceedings of the 44th ACM SIGPLAN Symposium on Principles of Programming …, 2017
802017
Beyond the single neuron convex barrier for neural network certification
G Singh, R Ganvir, M Püschel, M Vechev
Advances in Neural Information Processing Systems 32, 15098-15109, 2019
682019
Certifying geometric robustness of neural networks
M Balunović, M Baader, G Singh, T Gehr, M Vechev
Advances in Neural Information Processing Systems 32, 2019
642019
Making Numerical Program Analysis Fast
G Singh, M Püschel, M Vechev
Programming Language Design and Implementation (PLDI) 50 (6), 303-313, 2015
442015
Fast Numerical Program Analysis with Reinforcement Learning
G Singh, M Püschel, M Vechev
International Conference on Computer Aided Verification, 211-229, 2018
302018
A practical construction for decomposing numerical abstract domains
G Singh, M Püschel, M Vechev
Proceedings of the ACM on Programming Languages 2 (POPL), 1-28, 2017
272017
A Provable Defense for Deep Residual Networks
M Mirman, G Singh, M Vechev
arXiv preprint arXiv:1903.12519, 2019
162019
Scaling Polyhedral Neural Network Verification on GPUs
C Müller, F Serre, G Singh, M Püschel, M Vechev
Proceedings of Machine Learning and Systems 3, 2021
152021
Learning fast and precise numerical analysis
J He, G Singh, M Püschel, M Vechev
Proceedings of the 41st ACM SIGPLAN Conference on Programming Language …, 2020
152020
Scalable Polyhedral Verification of Recurrent Neural Networks
W Ryou, J Chen, M Balunovic, G Singh, A Dan, M Vechev
International Conference on Computer Aided Verification, 225-248, 2021
8*2021
Adversarial Attacks on Probabilistic Autoregressive Forecasting Models
R Dang-Nhu, G Singh, P Bielik, M Vechev
International Conference on Machine Learning, 2020
72020
PRIMA: general and precise neural network certification via scalable convex hull approximations
MN Müller, G Makarchuk, G Singh, M Püschel, M Vechev
Proceedings of the ACM on Programming Languages 6 (POPL), 1-33, 2022
6*2022
Robustness Certification for Point Cloud Models
T Lorenz, A Ruoss, M Balunović, G Singh, M Vechev
arXiv preprint arXiv:2103.16652, 2021
32021
A dual number abstraction for static analysis of Clarke Jacobians
J Laurel, R Yang, G Singh, S Misailovic
Proceedings of the ACM on Programming Languages 6 (POPL), 1-30, 2022
2022
FIRE: enabling reciprocity for FDD MIMO systems
Z Liu, G Singh, C Xu, D Vasisht
Proceedings of the 27th Annual International Conference on Mobile Computing …, 2021
2021
Shared Certificates for Neural Network Verification
C Sprecher, M Fischer, DI Dimitrov, G Singh, M Vechev
arXiv preprint arXiv:2109.00542, 2021
2021
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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Articles 1–20