Publications

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].

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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].

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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].

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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].

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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].

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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%].

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