pu zhao
Cited by
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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, ...
arXiv preprint arXiv:1808.01664, 2018
Bridging mode connectivity in loss landscapes and adversarial robustness
P Zhao, PY Chen, P Das, KN Ramamurthy, X Lin
arXiv preprint arXiv:2005.00060, 2020
Fault sneaking attack: A stealthy framework for misleading deep neural networks
P Zhao, S Wang, C Gongye, Y Wang, Y Fei, X Lin
Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019
Defensive dropout for hardening deep neural networks under adversarial attacks
S Wang, X Wang, P Zhao, W Wen, D Kaeli, P Chin, X Lin
2018 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-8, 2018
On the design of black-box adversarial examples by leveraging gradient-free optimization and operator splitting method
P Zhao, S Liu, PY Chen, N Hoang, K Xu, B Kailkhura, X Lin
Proceedings of the IEEE/CVF International Conference on Computer Vision, 121-130, 2019
Robust beamforming design for sum secrecy rate optimization in MU-MISO networks
P Zhao, M Zhang, H Yu, H Luo, W Chen
IEEE Transactions on Information forensics and Security 10 (9), 1812-1823, 2015
A deep reinforcement learning framework for optimizing fuel economy of hybrid electric vehicles
P Zhao, Y Wang, N Chang, Q Zhu, X Lin
2018 23rd Asia and South Pacific design automation conference (ASP-DAC), 196-202, 2018
Defending against backdoor attack on deep neural networks
K Xu, S Liu, PY Chen, P Zhao, X Lin
arXiv preprint arXiv:2002.12162, 2020
Interpreting adversarial examples by activation promotion and suppression
K Xu, S Liu, G Zhang, M Sun, P Zhao, Q Fan, C Gan, X Lin
arXiv preprint arXiv:1904.02057, 2019
An admm-based universal framework for adversarial attacks on deep neural networks
P Zhao, S Liu, Y Wang, X Lin
Proceedings of the 26th ACM international conference on Multimedia, 1065-1073, 2018
Towards query-efficient black-box adversary with zeroth-order natural gradient descent
P Zhao, PY Chen, S Wang, X Lin
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6909-6916, 2020
Achieving on-mobile real-time super-resolution with neural architecture and pruning search
Z Zhan, Y Gong, P Zhao, G Yuan, W Niu, Y Wu, T Zhang, M Jayaweera, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Towards certificated model robustness against weight perturbations
TW Weng, P Zhao, S Liu, PY Chen, X Lin, L Daniel
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6356-6363, 2020
Advancing model pruning via bi-level optimization
Y Zhang, Y Yao, P Ram, P Zhao, T Chen, M Hong, Y Wang, S Liu
Advances in Neural Information Processing Systems 35, 18309-18326, 2022
3D CNN acceleration on FPGA using hardware-aware pruning
M Sun, P Zhao, M Gungor, M Pedram, M Leeser, X Lin
2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020
Defending dnn adversarial attacks with pruning and logits augmentation
S Wang, X Wang, S Ye, P Zhao, X Lin
2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018
Npas: A compiler-aware framework of unified network pruning and architecture search for beyond real-time mobile acceleration
Z Li, G Yuan, W Niu, P Zhao, Y Li, Y Cai, X Shen, Z Zhan, Z Kong, Q Jin, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Admm attack: an enhanced adversarial attack for deep neural networks with undetectable distortions
P Zhao, K Xu, S Liu, Y Wang, X Lin
Proceedings of the 24th Asia and South Pacific Design Automation Conference …, 2019
Characteristic examples: High-robustness, low-transferability fingerprinting of neural networks
S Wang, X Wang, PY Chen, P Zhao, X Lin
International Joint Conferences on Artificial Intelligence Organization (IJCAI), 2021
CoCoPIE: Enabling real-time AI on off-the-shelf mobile devices via compression-compilation co-design
H Guan, S Liu, X Ma, W Niu, B Ren, X Shen, Y Wang, P Zhao
Communications of the ACM 64 (6), 62-68, 2021
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