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Huan Zhang
Huan Zhang
Подтвержден адрес электронной почты в домене andrew.cmu.edu - Главная страница
Название
Процитировано
Процитировано
Год
Zoo: Zeroth order optimization based black-box attacks to deep neural networks without training substitute models
PY Chen*, H Zhang*, Y Sharma, J Yi, CJ Hsieh
(*Equal Contribution) Proceedings of the 10th ACM workshop on artificial …, 2017
13612017
Can decentralized algorithms outperform centralized algorithms? a case study for decentralized parallel stochastic gradient descent
X Lian, C Zhang, H Zhang, CJ Hsieh, W Zhang, J Liu
Advances in Neural Information Processing Systems (NIPS) (oral presentation …, 2017
8032017
Towards fast computation of certified robustness for relu networks
L Weng*, H Zhang*, H Chen, Z Song, CJ Hsieh, L Daniel, D Boning, ...
(*Equal Contribution) International Conference on Machine Learning (ICML …, 2018
5892018
Ead: elastic-net attacks to deep neural networks via adversarial examples
PY Chen, Y Sharma, H Zhang, J Yi, CJ Hsieh
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
5372018
Efficient neural network robustness certification with general activation functions
H Zhang*, TW Weng*, PY Chen, CJ Hsieh, L Daniel
(*Equal Contribution) Advances in Neural Information Processing Systems …, 2018
5112018
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
3782018
Provably robust deep learning via adversarially trained smoothed classifiers
H Salman, J Li, I Razenshteyn, P Zhang, H Zhang, S Bubeck, G Yang
Advances in Neural Information Processing Systems (NeurIPS) (spotlight …, 2019
3692019
Evaluating the robustness of neural networks: An extreme value theory approach
TW Weng*, H Zhang*, PY Chen, J Yi, D Su, Y Gao, CJ Hsieh, L Daniel
(*Equal Contribution) International Conference on Learning Representations …, 2018
3542018
Is Robustness the Cost of Accuracy?--A Comprehensive Study on the Robustness of 18 Deep Image Classification Models
D Su*, H Zhang*, H Chen, J Yi, PY Chen, Y Gao
(*Equal Contribution) Proceedings of the European Conference on Computer …, 2018
3302018
Query-efficient hard-label black-box attack: An optimization-based approach
M Cheng, T Le, PY Chen, J Yi, H Zhang, CJ Hsieh
International Conference on Learning Representations (ICLR) 2019, 2018
3152018
Autozoom: Autoencoder-based zeroth order optimization method for attacking black-box neural networks
CC Tu, P Ting, PY Chen, S Liu, H Zhang, J Yi, CJ Hsieh, SM Cheng
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 742-749, 2019
3012019
Spectral and spatial 2D fragmentation-aware routing and spectrum assignment algorithms in elastic optical networks
Y Yin, H Zhang, M Zhang, M Xia, Z Zhu, S Dahlfort, SJB Yoo
Journal of Optical Communications and Networking 5 (10), A100-A106, 2013
2862013
Towards stable and efficient training of verifiably robust neural networks
H Zhang, H Chen, C Xiao, S Gowal, R Stanforth, B Li, D Boning, CJ Hsieh
International Conference on Learning Representations (ICLR) 2020, 2019
2132019
A convex relaxation barrier to tight robustness verification of neural networks
H Salman, G Yang, H Zhang, CJ Hsieh, P Zhang
Advances in Neural Information Processing Systems (NeurIPS), 9835-9846, 2019
195*2019
Genattack: Practical black-box attacks with gradient-free optimization
M Alzantot, Y Sharma, S Chakraborty, H Zhang, CJ Hsieh, MB Srivastava
Proceedings of the genetic and evolutionary computation conference, 1111-1119, 2019
1922019
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
1872020
Attacking visual language grounding with adversarial examples: A case study on neural image captioning
H Chen*, H Zhang*, PY Chen, J Yi, CJ Hsieh
(*Equal Contribution) 56th Annual Meeting of the Association for …, 2017
150*2017
Structured adversarial attack: Towards general implementation and better interpretability
K Xu, S Liu, P Zhao, PY Chen, H Zhang, Q Fan, D Erdogmus, Y Wang, ...
International Conference on Learning Representations (ICLR) 2019, 2018
1482018
Automatic perturbation analysis for scalable certified robustness and beyond
K Xu*, Z Shi*, H Zhang*, Y Wang, KW Chang, M Huang, B Kailkhura, ...
(*Equal Contribution) Advances in Neural Information Processing Systems …, 2020
1302020
The limitations of adversarial training and the blind-spot attack
H Zhang*, H Chen*, Z Song, D Boning, IS Dhillon, CJ Hsieh
(*Equal Contribution) International Conference on Learning Representations …, 2019
1192019
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