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Min Wu
Min Wu
Department of Computer Science, Stanford University
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
Safety verification of deep neural networks
X Huang, M Kwiatkowska, S Wang, M Wu
International conference on computer aided verification, 3-29, 2017
7322017
Concolic testing for deep neural networks
Y Sun, M Wu, W Ruan, X Huang, M Kwiatkowska, D Kroening
Proceedings of the 33rd ACM/IEEE International Conference on Automated …, 2018
2102018
A survey of safety and trustworthiness of deep neural networks: Verification, testing, adversarial attack and defence, and interpretability
X Huang, D Kroening, W Ruan, J Sharp, Y Sun, E Thamo, M Wu, X Yi
Computer Science Review 37, 100270, 2020
1352020
A game-based approximate verification of deep neural networks with provable guarantees
M Wu, M Wicker, W Ruan, X Huang, M Kwiatkowska
Theoretical Computer Science 807, 298-329, 2020
752020
Global robustness evaluation of deep neural networks with provable guarantees for the Hamming distance
W Ruan, M Wu, Y Sun, X Huang, D Kroening, M Kwiatkowska
International Joint Conference on Artificial Intelligence, 2019
442019
Safety and trustworthiness of deep neural networks: A survey
X Huang, D Kroening, M Kwiatkowska, W Ruan, Y Sun, E Thamo, M Wu, ...
arXiv preprint arXiv:1812.08342, 151, 2018
402018
A survey of safety and trustworthiness of deep neural networks
X Huang, D Kroening, W Ruan, J Sharp, Y Sun, E Thamo, M Wu, X Yi
arXiv preprint arXiv:1812.08342, 2018
222018
Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for the Norm
W Ruan, M Wu, Y Sun, X Huang, D Kroening, M Kwiatkowska
arXiv preprint arXiv:1804.05805, 2018
222018
Robustness Guarantees for Deep Neural Networks on Videos
M Wu, M Kwiatkowska
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
182020
Gaze-based Intention Anticipation over Driving Manoeuvres in Semi-Autonomous Vehicles
M Wu, T Louw, M Lahijanian, W Ruan, X Huang, N Merat, M Kwiatkowska
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
122019
Assessing Robustness of Text Classification through Maximal Safe Radius Computation
E La Malfa, M Wu, L Laurenti, B Wang, A Hartshorn, M Kwiatkowska
Findings of the Association for Computational Linguistics: EMNLP 2020, 2949-2968, 2020
82020
Full Poincar\'e mapping for ultra-sensitive polarimetry
C He, J Lin, J Chang, J Antonello, B Dai, J Wang, J Cui, J Qi, M Wu, ...
arXiv preprint arXiv:2101.09372, 2021
52021
Safety verification of deep neural networks (2016)
X Huang, M Kwiatkowska, S Wang, M Wu
arXiv preprint arXiv:1610.06940, 2016
52016
Robustness Evaluation of Deep Neural Networks with Provable Guarantees
M Wu
University of Oxford, 2020
2020
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