Research output per year
Research output per year
Personal profile
Biography
Dr. DU Minxin received his Ph.D. degree from the Department of Information Engineering at The Chinese University of Hong Kong (CUHK), M.Eng. degree from the School of Cyber Science and Engineering at Wuhan University (WHU) in 2018, and B.Eng. from HongYi Class (or honor college) of Computer Science at WHU in 2015. His research interests include applied cryptography (e.g., searchable encryption, privacy-preserving machine learning) and differential privacy (new notions and applications in AI (notably, NLP), with publications in ACM CCS, ACM TheWebConf, ACL, IEEE Infocom, Financial Crypto., IEEE TDSC, IEEE TKDE, IEEE TIFS, etc. He serves on the program committee of ACM CCS, USENIX Security, NeurIPS, ICDCS, and AAAI, among others. He won the Best Student Paper Award from ACM MMSys'22.
Research interests
(Differential) Privacy, Applied Cryptography, and AI Security
Education/Academic qualification
Doctor of Philosophy in Information Engineering, The Chinese University of Hong Kong
Bachelor of Engineering in Computer Science, Wuhan University
Master of Engineering in Computer Science (Information Security), Wuhan University
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Collaborations and top research areas from the last five years
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FastTextDodger: Decision-Based Adversarial Attack Against Black-Box NLP Models With Extremely High Efficiency
Hu, X., Liu, G., Zheng, B., Zhao, L., Wang, Q., Zhang, Y. & Du, M., 5 Jan 2024, In: IEEE Transactions on Information Forensics and Security. 19, p. 2398-2411 14 p.Research output: Journal article publication › Journal article › Academic research › peer-review
4 Citations (Scopus) -
Machine Unlearning of Pre-trained Large Language Models
Yao, J., Chien, E., Du, M., Niu, X., Wang, T., Cheng, Z. & Yue, X., Aug 2024, Long Papers. Ku, L.-W., Martins, A. F. T. & Srikumar, V. (eds.). Association for Computational Linguistics (ACL), p. 8403-8419 17 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics; vol. 1).Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review
2 Citations (Scopus) -
Stealthy and Effective Physical Adversarial Attacks in Autonomous Driving
Zhou, M., Zhou, W., Huang, J., Yang, J., Du, M. & Li, Q., 3 Jul 2024, In: IEEE Transactions on Information Forensics and Security. 19, p. 6795-6809 15 p.Research output: Journal article publication › Journal article › Academic research › peer-review
2 Citations (Scopus) -
AdvDDoS: Zero-Query Adversarial Attacks Against Commercial Speech Recognition Systems
Ge, Y., Zhao, L., Wang, Q., Duan, Y. & Du, M., 7 Jun 2023, In: IEEE Transactions on Information Forensics and Security. 18, p. 3647-3661 15 p.Research output: Journal article publication › Journal article › Academic research › peer-review
10 Citations (Scopus) -
Cryptography-Inspired Federated Learning for Generative Adversarial Networks and Meta Learning
Zheng, Y., Song, W., Du, M., S. M. Chow, S., Lou, Q., Zhao, Y. & Wang, X., Aug 2023, Advanced Data Mining and Applications - 19th International Conference, ADMA 2023, Proceedings. Yang, X., Wang, B., Suhartanto, H., Wang, G., Jiang, J., Li, B., Zhu, H. & Cui, N. (eds.). Springer Science and Business Media Deutschland GmbH, p. 393-407 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14177 LNAI).Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review
9 Citations (Scopus)