DaST: Data-free Substitute Training for Adversarial Attacks M Zhou, J Wu, Y Liu, S Liu, C Zhu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 154 | 2020 |
Early diagnosis of Parkinson’s disease from multiple voice recordings by simultaneous sample and feature selection L Ali, C Zhu, M Zhou, Y Liu Expert Systems with Applications 137, 22-28, 2019 | 134 | 2019 |
Tensor rank learning in CP decomposition via convolutional neural network M Zhou, Y Liu, Z Long, L Chen, C Zhu Signal Processing: Image Communication 73, 12-21, 2019 | 68 | 2019 |
Deep learning based diagnosis of Parkinson’s Disease using diffusion magnetic resonance imaging H Zhao, CC Tsai, M Zhou, Y Liu, YL Chen, F Huang, YC Lin, JJ Wang Brain imaging and behavior 16 (4), 1749-1760, 2022 | 22 | 2022 |
Performance evaluation of adversarial attacks: Discrepancies and solutions J Wu, M Zhou, C Zhu, Y Liu, M Harandi, L Li arXiv preprint arXiv:2104.11103, 2021 | 9 | 2021 |
Decision-based universal adversarial attack J Wu, M Zhou, S Liu, Y Liu, C Zhu arXiv preprint arXiv:2009.07024, 2020 | 9 | 2020 |
ModelObfuscator: Obfuscating Model Information to Protect Deployed ML-Based Systems M Zhou, X Gao, J Wu, J Grundy, X Chen, C Chen, L Li Proceedings of the 32nd ACM SIGSOFT International Symposium on Software …, 2023 | 7 | 2023 |
Concealing Sensitive Samples against Gradient Leakage in Federated Learning J Wu, M Hayat, M Zhou, M Harandi Proceedings of the AAAI Conference on Artificial Intelligence 38 (19), 21717 …, 2024 | 4* | 2024 |
Investigating White-Box Attacks for On-Device Models M Zhou, X Gao, J Wu, K Liu, H Sun, L Li Proceedings of the IEEE/ACM 46th International Conference on Software …, 2024 | 1 | 2024 |
Model-less Is the Best Model: Generating Pure Code Implementations to Replace On-Device DL Models M Zhou, X Gao, P Liu, J Grundy, C Chen, X Chen, L Li Accepted by the ACM SIGSOFT International Symposium on Software Testing and …, 2024 | | 2024 |