Research Interests: Intelligent System Security, Machine Learning/Deep Learning Security, AI for Security
My works have been published on top-tier security and AI conferences/journals, including S&P, USENIX Security, CCS, and TDSC for security, and TPAMI, ICML, NeurIPS, ICDE, KDD, SIGIR, CVPR and AAAI for AI.
I have hosted a number of projects funded by National Key Research and Development Program, National Natural Science Foundation of China, National Natural Science Foundation of Shanghai and industry leaders (including Alibaba, Huawei, Baidu, Qianxin).
I have participated in the development of multiple national and industry standards, including the "Basic Security Requirements for Generative Artificial Intelligence Service" and the "White Paper on Standardization of Artificial Intelligence Security" by the National Information Security Standardization Technical Committee (TC260).
Selected Awards and Honors
Distinguished Paper Award Nomination, ACM CCS (2020)
Youth Outstanding Paper Nomination, World Artificial Intelligence Conference (WAIC, 2022)
The 1st Prize, "Huawei Cup" 2nd China Graduate Cybersecurity Innovation Competition - Large Language Model Privacy Track (2023, Mentor)
The 1st Prize, 6th China Open Source Software Innovation Competition - ModelScope Challenge (2023, Mentor)
The 1st Place, DEFCON Autodriving CTF (2022&2021, Mentor)
The Most Valuable Vulnerability Award, China National Vulnerability Database (CNVD), 2021
CCF Science and Technology Award (2nd Prize in Natural Science), 2020
Yuanmin Huang, Mi Zhang✉, Daizong Ding, Erling Jiang, Qifan Xiao, Xiaoyu You, Yuan Tian, Min Yang. The 29th European Symposium on Research in Computer Security (ESORICS, accepted), 2024.
Chenghui Shi, Shouling Ji, Xudong Pan, Xuhong Zhang, Mi Zhang✉, Min Yang, Jun Zhou, Jianwei Yin, Ting Wang. IEEE Transactions on Dependable and Secure Computing (TDSC), Early Access, 2024.
Yining Wang, Junjie Sun, Chenyue Wang, Mi Zhang✉, Min Yang. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024 (CVPR), P12322-12331, 2024.
Yuanmin Huang, Mi Zhang✉, Daizong Ding, Erling Jiang, Zhaoxiang Wang, Min Yang. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024 (CVPR), P19779-19789, 2024.
Daizong Ding, Erling Jiang, Yuanmin Huang, Mi Zhang✉, Wenxuan Li, Min Yang. The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023 (CVPR), P12260-12270, 2023.
Xiaohan Zhang, Mi Zhang✉, Yuan Zhang, Ming Zhong, Xin Zhang, Yinzhi Cao, Min Yang. IEEE Transactions on Dependable and Secure Computing (TDSC) , Early Access, 2022.
Daizong Ding, Mi Zhang✉, Yuanmin Huang, Xudong Pan, Fuli Feng, Erling Jiang, Min Yang. The 38th IEEE International Conference on Data Engineering (ICDE), P1274-1287, 2022.
Daizong Ding, Mi Zhang✉, Hanrui Wang, Xudong Pan, Min Yang, Xiangnan He. The 30th ACM International Conference on Information and Knowledge Management (CIKM), , P372–381, 2021.
Xiaoyu You, Mi Zhang✉, Daizong Ding, Fuli Feng, Yuanmin Huang. The 30th ACM International Conference on Information and Knowledge Management (CIKM), , P2434–2443, 2021.
Xiaohan Zhang, Yuan Zhang, Ming Zhong, Daizong Ding, Yinzhi Cao, Yukun Zhang, Mi Zhang✉, Min Yang. ACM Conference on Computer and Communications Security (CCS) , P757-770, 2020. Distinguished Paper Nomination
Xudong Pan, Mi Zhang✉, Shouling Ji, Min Yang. 2020 IEEE Symposium on Security and Privacy (S&P) , P1471-1488, 2020. WAIC Youth Distinguished Paper Nomination
Daizong Ding, Mi Zhang✉, Shao-Yuan Li, Jie Tang, Xiaotie Chen, Zhi-Hua Zhou
The 2017 ACM Conference on Information and Knowledge Management (CIKM), P1479-1488, 2017.
A Method to Improve the Prediction Performance of Time Series Forecasting System. Invention Patent, China, 2022.
A Method of Training Data Reconstruction based on Exclusive Neurons. Invention Patent, China, 2022.
A Neural Network Fingerprint Detection Method Decoupled with Downstream Tasks. Invention Patent, China, 2022.
A Method to Improve the Effectiveness of Social Network Hierarchical Community Detection and Division. Invention Patent, China, 2022.
A Neural Network Fingerprint Detection Method based on Adaptive Fingerprint and Meta-Learning. Invention Patent, China, 2022.
An Anti-aging Enhancement Method of Malware Detection Model based on API Relationship Graph. Invention Patent, China, 2021.
Deep Learning-based Malware Detection Method adapted to Smart Chip Hierarchical Architecture. Invention Patent, China, 2021.
A Method for Constructing Android API Semantic Graph based on Code Documents. Invention Patent, China, 2021.
Real-time Detection System for Malicious Behaviors based on Dynamic Behavior Sequence and Deep Learning. Invention Patent, China, 2021.
A Defense Agent for Enhancing the Robustness of Distributed Learning Systems. Invention Patent, China, 2020.
Students
PhD Students:
Current: Qifan Xiao (2020-), Yifan Lu (2021-), Yuanmin Huang (2021-), Yining Wang (2022-), Wenxuan Li (2022-), Feifei Li (2023-), Huming Qiu (2023-), Jiagui Chen (2024-), Yiming Sun (2024-), Xi Li (2024-), Chen Chen (2024-)
Graduated: Daizong Ding (2017-2023, Huawei), Xudong Pan (2018-2023, Fudan), Xiaoyu You (2017-2024, ECUST)
Master Students:
Current: Junjie Sun (2022-), Yanghao Lv (2022-), Zechen Gao (2022-), Xinnuo Chen (2023-), Zhaoxiang Wang (2023-), Chenyue Wang (2023-), Zhenfei Zhang (2024-), Liangchen Pu (2024-), Yuquan Wang (2024-), Jiahao Gu (2024-), Runjie Wang (2024-), Zixuan Zhu (2024-), Yao Mao (2024-)
Graduated: Xuchen Zhang (2013-2016, ByteDance), Ri Xu (Huawei), Xiaoyang Ma (Tencent), Li Wang (Ant Group), Chengchun Zhu (ByteDance), Ruozhi Huang (2017-2020, Tencent), Duocai Wu (2018-2021, Ant Group), Hanrui Wang (2018-2021, NetEase), Jiaming Zhu (2019-2021, Ant Group), Yifan Yan (2020-2022, Alibaba), Chi Li (2020-2022, Alibaba), Beina Sheng (2020-2023, ByteDance), Erling Jiang (2021-2023, Alibaba), Youhe Jiang (2021-2023, Alibaba), Jianwei Xu (2021-2023, Selected Cadre of Liaoning Province), Shengyao Zhang (2021-2024, Alibaba)
Service & Outreach
Workshop Co-chair, The 17th ACM Conference on Recommender Systems (RecSys'23), Singapore, 18th-22nd September 2023.
Youth Editorial Board Member, Frontiers of Computer Science.
Publicity Chair, UMAP, 2018.
Publicity Chair, ACM RecSys, 2013.
PC member/reviewer of TPAMI, TKDE, NeurIPS, ICML, ICLR, ICCV, CVPR, WWW, IJCAI, AAAI, AsiaCCS, etc.