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Mingyi Zhou
Mingyi Zhou
PhD student, Monash University
Verified email at monash.edu - Homepage
Title
Cited by
Cited by
Year
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
1412020
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
1282019
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
682019
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
202022
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
92021
Decision-based universal adversarial attack
J Wu, M Zhou, S Liu, Y Liu, C Zhu
arXiv preprint arXiv:2009.07024, 2020
72020
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
32023
Concealing Sensitive Samples for Enhanced Privacy in Federated Learning
J Wu, M Hayat, M Zhou, M Harandi
The 38th Annual AAAI Conference on Artificial Intelligence, 2022
2*2022
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
Investigating White-Box Attacks for On-Device Models
M Zhou, X Gao, J Wu, K Liu, H Sun, L Li
46th International Conference on Software Engineering, 2024
2024
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