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 | 195 | 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 | 152 | 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 | 74 | 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 | 26 | 2022 |
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 | 16 | 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 | 14* | 2024 |
Decision-based universal adversarial attack J Wu, M Zhou, S Liu, Y Liu, C Zhu arXiv preprint arXiv:2009.07024, 2020 | 14 | 2020 |
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 | 11 | 2021 |
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 | 9 | 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 Proceedings of the 33rd ACM SIGSOFT International Symposium on Software …, 2024 | 5 | 2024 |
Llm for mobile: An initial roadmap D Chen, Y Liu, M Zhou, Y Zhao, H Wang, S Wang, X Chen, TF Bissyandé, ... ACM Transactions on Software Engineering and Methodology, 2024 | 4 | 2024 |
Pathseeker: Exploring llm security vulnerabilities with a reinforcement learning-based jailbreak approach Z Lin, W Ma, M Zhou, Y Zhao, H Wang, Y Liu, J Wang, L Li arXiv preprint arXiv:2409.14177, 2024 | 2 | 2024 |
DynaMO: Protecting Mobile DL Models through Coupling Obfuscated DL Operators M Zhou, X Gao, X Chen, C Chen, J Grundy, L Li Proceedings of the 39th IEEE/ACM International Conference on Automated …, 2024 | 1 | 2024 |
ArkAnalyzer: The Static Analysis Framework for OpenHarmony H Chen, D Chen, Y Yang, L Xu, L Gao, M Zhou, C Hu, L Li arXiv preprint arXiv:2501.05798, 2025 | | 2025 |
Towards Improving the Reliability of Deployed Deep Learning Software M Zhou Monash University, 2024 | | 2024 |