Minhao Cheng
Minhao Cheng
Verified email at cs.ucla.edu - Homepage
Cited by
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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
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
Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples.
M Cheng, J Yi, PY Chen, H Zhang, CJ Hsieh
AAAI, 3601-3608, 2020
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
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
Attack graph convolutional networks by adding fake nodes
X Wang, M Cheng, J Eaton, CJ Hsieh, F Wu
arXiv preprint arXiv:1810.10751, 2018
Stochastic zeroth-order optimization via variance reduction method
L Liu, M Cheng, CJ Hsieh, D Tao
arXiv preprint arXiv:1805.11811, 2018
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
Learning from group comparisons: exploiting higher order interactions
Y Li, M Cheng, K Fujii, F Hsieh, CJ Hsieh
Advances in Neural Information Processing Systems, 4981-4990, 2018
Cat: Customized adversarial training for improved robustness
M Cheng, Q Lei, PY Chen, I Dhillon, CJ Hsieh
arXiv preprint arXiv:2002.06789, 2020
Fast training for large-scale one-versus-all linear classifiers using tree-structured initialization
H Fang, M Cheng, CJ Hsieh, M Friedlander
Proceedings of the 2019 SIAM International Conference on Data Mining, 280-288, 2019
Extreme learning to rank via low rank assumption
M Cheng, I Davidson, CJ Hsieh
International Conference on Machine Learning (ICML), 2018
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
Enhancing certifiable robustness via a deep model ensemble
H Zhang, M Cheng, CJ Hsieh
arXiv preprint arXiv:1910.14655, 2019
A hyperplane-based algorithm for semi-supervised dimension reduction
H Fang, M Cheng, CJ Hsieh
2017 IEEE International Conference on Data Mining (ICDM), 101-110, 2017
Drnas: Dirichlet neural architecture search
X Chen, R Wang, M Cheng, X Tang, CJ Hsieh
arXiv preprint arXiv:2006.10355, 2020
Intelligent Mobile Framework Based on Swarm Computation
X Niu, D Su, M Cheng
2015 IEEE International Conference on Computer and Information Technology …, 2015
SPROUT: Self-Progressing Robust Training
M Cheng, PY Chen, S Liu, S Chang, CJ Hsieh, P Das
Natural Adversarial Sentence Generation with Gradient-based Perturbation
YL Hsieh, M Cheng, DC Juan, W Wei, WL Hsu, CJ Hsieh
arXiv preprint arXiv:1909.04495, 2019
Hierarchical classification using neural networks
M Cheng, X Tang, CC Hsieh
US Patent App. 15/831,382, 2019
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