Publications

Haonan Chen, Daihang Chen, Yizhuo Yang, Lingyun Xu, Liang Gao, Mingyi Zhou, Chunming Hu, Li Li (2024). ArkAnalyzer: The Static Analysis Framework for OpenHarmony Apps. In Proceedings of the 46th IEEE/ACM International Conference on Software Engineering 2025, SEIP Track [ICSE-SEIP'25].

PDF Code

Mingyi Zhou, Xiang Gao, Xiao Chen, Chunyang Chen, John Grundy, Li Li (2024). DynaMO: Protecting Mobile DL Models through Coupling Obfuscated DL Operators. In Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, Research Track [ASE'24].

PDF Cite Code DOI

Mingyi Zhou, Xiang Gao, Pei Liu, John Grundy, Xiao Chen, Chunyang Chen, Li Li (2024). Model-less Is The Best Model: Generating Pure Code Implementations to Replace On-device DL Models. In Proceedings of the 33nd ACM SIGSOFT International Symposium on Software Testing and Analysis 2024, Technical Track [ISSTA'24].

PDF Cite Code DOI

Mingyi Zhou, Xiang Gao, Jing Wu, Kui Liu, Hailong Sun, Li Li (2024). Investigating White-Box Attacks for On-Device Models. In Proceedings of the 46th IEEE/ACM International Conference on Software Engineering 2024, Research Track [ICSE'24].

PDF Cite Code DOI

Jing Wu, Munawar Hayat, Mingyi Zhou, Mehrtash Harandi (2024). Concealing Sensitive Samples against Gradient Leakage in Federated Learning. In The 38th Annual AAAI Conference on Artificial Intelligence 2024 [AAAI'24].

PDF Cite Code DOI

Mingyi Zhou, Xiang Gao, Jing Wu, John Grundy, Xiao Chen, Chunyang Chen, Li Li (2023). ModelObfuscator: Obfuscating Model Information to Protect Deployed ML-Based Systems. In Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis 2023, Technical Track [ISSTA'23].

PDF Cite Code DOI

Mingyi Zhou, Jing Wu, Yipeng Liu, Shuaicheng Liu, Ce Zhu (2020). DaST: Data-free Substitute Training for Adversarial Attacks. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2020 [CVPR'20 Oral, Top 5%].

PDF Cite Code DOI