| 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 | 159 | 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 | 119 | 2020 |
| 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 | 73 | 2018 |
| 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 | 71 | 2019 |
| 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 | 59 | 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 | 59 | 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 | 52 | 2018 |
| 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 | 37 | 2019 |
| Defending against backdoor attack on deep neural networks K Xu, S Liu, PY Chen, P Zhao, X Lin arXiv preprint arXiv:2002.12162, 2020 | 35 | 2020 |
| 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 | 34 | 2018 |
| 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 | 29 | 2020 |
| 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 | 28 | 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 | 26 | 2018 |
| 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 | 23 | 2021 |
| 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 | 20 | 2020 |
| 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 | 17* | 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 | 17 | 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 | 12 | 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 | 12 | 2021 |
| CoCoPIE: Making Mobile AI Sweet As PIE--Compression-Compilation Co-Design Goes a Long Way S Liu, B Ren, X Shen, Y Wang arXiv preprint arXiv:2003.06700, 2020 | 12 | 2020 |
Xue LinNortheastern UniversityVerified email at northeastern.edu
