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Minhao Cheng
Minhao Cheng
Assistant Professor of Information Sciences and Technology, Penn State
Verified email at psu.edu - Homepage
Title
Cited by
Cited by
Year
Towards robust neural networks via random self-ensemble
X Liu, M Cheng, H Zhang, CJ Hsieh
Proceedings of the european conference on computer vision (ECCV), 369-385, 2018
4762018
Query-efficient hard-label black-box attack: An optimization-based approach
M Cheng, T Le, PY Chen, J Yi, H Zhang, CJ Hsieh
arXiv preprint arXiv:1807.04457, 2018
4332018
Seq2sick: Evaluating the robustness of sequence-to-sequence models with adversarial examples
M Cheng, J Yi, PY Chen, H Zhang, CJ Hsieh
Proceedings of the AAAI conference on artificial intelligence 34 (04), 3601-3608, 2020
2442020
Sign-opt: A query-efficient hard-label adversarial attack
M Cheng, S Singh, P Chen, PY Chen, S Liu, CJ Hsieh
arXiv preprint arXiv:1909.10773, 2019
2122019
Rethinking architecture selection in differentiable NAS
R Wang, M Cheng, X Chen, X Tang, CJ Hsieh
arXiv preprint arXiv:2108.04392, 2021
1652021
Drnas: Dirichlet neural architecture search
X Chen, R Wang, M Cheng, X Tang, CJ Hsieh
arXiv preprint arXiv:2006.10355, 2020
1202020
On the robustness of self-attentive models
YL Hsieh, M Cheng, DC Juan, W Wei, WL Hsu, CJ Hsieh
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
1042019
Cat: Customized adversarial training for improved robustness
M Cheng, Q Lei, PY Chen, I Dhillon, CJ Hsieh
arXiv preprint arXiv:2002.06789, 2020
992020
Attack graph convolutional networks by adding fake nodes
X Wang, M Cheng, J Eaton, CJ Hsieh, F Wu
arXiv preprint arXiv:1810.10751, 2018
872018
Evaluating and enhancing the robustness of dialogue systems: A case study on a negotiation agent
M Cheng, W Wei, CJ Hsieh
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
462019
Feddm: Iterative distribution matching for communication-efficient federated learning
Y Xiong, R Wang, M Cheng, F Yu, CJ Hsieh
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
442023
A review of adversarial attack and defense for classification methods
Y Li, M Cheng, CJ Hsieh, TCM Lee
The American Statistician 76 (4), 329-345, 2022
432022
Evaluating and enhancing the robustness of neural network-based dependency parsing models with adversarial examples
X Zheng, J Zeng, Y Zhou, CJ Hsieh, M Cheng, XJ Huang
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
382020
Fake node attacks on graph convolutional networks
X Wang, M Cheng, J Eaton, CJ Hsieh, SF Wu
Journal of Computational and Cognitive Engineering 1 (4), 165-173, 2022
332022
Stochastic zeroth-order optimization via variance reduction method
L Liu, M Cheng, CJ Hsieh, D Tao
arXiv preprint arXiv:1805.11811, 2018
232018
Learning from group comparisons: exploiting higher order interactions
Y Li, M Cheng, K Fujii, F Hsieh, CJ Hsieh
Advances in Neural Information Processing Systems 31, 2018
232018
Rank-nosh: Efficient predictor-based architecture search via non-uniform successive halving
R Wang, X Chen, M Cheng, X Tang, CJ Hsieh
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
152021
Concurrent adversarial learning for large-batch training
Y Liu, X Chen, M Cheng, CJ Hsieh, Y You
arXiv preprint arXiv:2106.00221, 2021
112021
Enhancing certifiable robustness via a deep model ensemble
H Zhang, M Cheng, CJ Hsieh
arXiv preprint arXiv:1910.14655, 2019
112019
Random sharpness-aware minimization
Y Liu, S Mai, M Cheng, X Chen, CJ Hsieh, Y You
Advances in Neural Information Processing Systems 35, 24543-24556, 2022
102022
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