个人简介
复旦大学计算机科学技术学院教授、博导，白泽智能团队负责人，主要研究方向为智能系统安全与机器学习模型安全。在安全领域与人工智能领域的国际顶级学术会议和期刊上均发表了多篇学术成果，包括S&P, USENIX Security, CCS, TPAMI, ICML, SIGIR, KDD, AAAI, WWW等。担任包括NeurIPS, ICML, ICCV, CVPR, IJCAI, AAAI , TKDE等多个期刊和会议的PC Member和审稿人。
奖项荣誉
CCS最佳论文提名奖（每年仅4篇, 2020）
世界人工智能大会WAIC青年优秀论文提名奖 (2022)
DEFCON无人驾驶安全攻防赛冠军 (2022&2021, 指导教师)
CVND国家最具价值漏洞 (2021)
长三角科学道德和学风建设论坛征文特等奖 (2021)
复旦大学研究生教学成果奖特等奖 (2021)
CCF科学技术奖自然科学二等奖 (2020)
华为优秀技术成果奖 (2020)
上海市青年五四奖章集体 (2020)
复旦大学十佳“三好”研究生导学团队 (2019)
IEEE/ACM WI/IAT最佳论文奖 (2008)
近期论文
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Xiaohan Zhang, Mi Zhang, Yuan Zhang, Ming Zhong, Xin Zhang, Yinzhi Cao, Min Yang: Slowing Down the Aging of Learning-Based Malware Detectors With API Knowledge. IEEE Trans. Dependable Secur. Comput. 20(2): 902-916 (2023)
Mi Zhang, Daizong Ding, Xudong Pan, Min Yang: Enhancing Time Series Predictors With Generalized Extreme Value Loss. IEEE Trans. Knowl. Data Eng. 35(2): 1473-1487 (2023)
Daizong Ding, Mi Zhang, Fuli Feng, Yuanmin Huang, Erling Jiang, Min Yang: Black-Box Adversarial Attack on Time Series Classification. AAAI 2023: 7358-7368
Shengyao Zhang, Xudong Pan, Mi Zhang, Min Yang: SlowBERT: Slow-down Attacks on Input-adaptive Multi-exit BERT. ACL (Findings) 2023: 9992-10007
Daizong Ding, Erling Jiang, Yuanmin Huang, Mi Zhang, Wenxuan Li, Min Yang: CAP: Robust Point Cloud Classification via Semantic and Structural Modeling. CVPR 2023: 12260-12270
Xudong Pan, Mi Zhang, Duocai Wu: R?ROS: Building a Responsive Online Recommender System via Meta-Gradients Updating. ICASSP 2023: 1-5
Xudong Pan, Mi Zhang, Yifan Yan, Yining Wang, Min Yang: Cracking White-box DNN Watermarks via Invariant Neuron Transforms. KDD 2023: 1783-1794
Yifan Yan, Xudong Pan, Mi Zhang, Min Yang: Rethinking White-Box Watermarks on Deep Learning Models under Neural Structural Obfuscation. USENIX Security Symposium 2023: 2347-2364
Qifan Xiao, Xudong Pan, Yifan Lu, Mi Zhang, Jiarun Dai, Min Yang: Exorcising "Wraith": Protecting LiDAR-based Object Detector in Automated Driving System from Appearing Attacks. USENIX Security Symposium 2023: 2939-2956
Xiaoyu You, Chi Li, Daizong Ding, Mi Zhang, Fuli Feng, Xudong Pan, Min Yang: Anti-FakeU: Defending Shilling Attacks on Graph Neural Network based Recommender Model. WWW 2023: 938-948
Xiaoyu You, Beina Sheng, Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Fuli Feng: MaSS: Model-agnostic, Semantic and Stealthy Data Poisoning Attack on Knowledge Graph Embedding. WWW 2023: 2000-2010
Qifan Xiao, Xudong Pan, Yifan Lu, Mi Zhang, Jiarun Dai, Min Yang: Exorcising "Wraith": Protecting LiDAR-based Object Detector in Automated Driving System from Appearing Attacks. CoRR abs/2303.09731 (2023)
Yifan Yan, Xudong Pan, Mi Zhang, Min Yang: Rethinking White-Box Watermarks on Deep Learning Models under Neural Structural Obfuscation. CoRR abs/2303.09732 (2023)
Yifan Lu, Wenxuan Li, Mi Zhang, Xudong Pan, Min Yang: MIRA: Cracking Black-box Watermarking on Deep Neural Networks via Model Inversion-based Removal Attacks. CoRR abs/2309.03466 (2023)
Mi Zhang, Xudong Pan, Min Yang: JADE: A Linguistics-based Safety Evaluation Platform for LLM. CoRR abs/2311.00286 (2023)
Xudong Pan, Mi Zhang, Daizong Ding, Min Yang: A Geometrical Perspective on Image Style Transfer With Adversarial Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 63-75 (2022)
Daizong Ding, Mi Zhang, Yuanmin Huang, Xudong Pan, Fuli Feng, Erling Jiang, Min Yang: Towards Backdoor Attack on Deep Learning based Time Series Classification. ICDE 2022: 1274-1287
Xudong Pan, Yifan Yan, Mi Zhang, Min Yang: MetaV: A Meta-Verifier Approach to Task-Agnostic Model Fingerprinting. KDD 2022: 1327-1336
Xudong Pan, Shengyao Zhang, Mi Zhang, Yifan Yan, Min Yang: House of Cans: Covert Transmission of Internal Datasets via Capacity-Aware Neuron Steganography. NeurIPS 2022
Xudong Pan, Mi Zhang, Beina Sheng, Jiaming Zhu, Min Yang: Hidden Trigger Backdoor Attack on NLP Models via Linguistic Style Manipulation. USENIX Security Symposium 2022: 3611-3628
Xudong Pan, Mi Zhang, Yifan Yan, Jiaming Zhu, Zhemin Yang: Exploring the Security Boundary of Data Reconstruction via Neuron Exclusivity Analysis. USENIX Security Symposium 2022: 3989-4006
Xin Tan, Yuan Zhang, Jiajun Cao, Kun Sun, Mi Zhang, Min Yang: Understanding the Practice of Security Patch Management across Multiple Branches in OSS Projects. WWW 2022: 767-777
Xudong Pan, Mi Zhang, Yifan Yan: UTAF: A Universal Approach to Task-Agnostic Model Fingerprinting. CoRR abs/2201.07391 (2022)
Yifan Yan, Xudong Pan, Yining Wang, Mi Zhang, Min Yang: Cracking White-box DNN Watermarks via Invariant Neuron Transforms. CoRR abs/2205.00199 (2022)
Xudong Pan, Yifan Yan, Shengyao Zhang, Mi Zhang, Min Yang: Matryoshka: Stealing Functionality of Private ML Data by Hiding Models in Model. CoRR abs/2206.14371 (2022)
Xudong Pan, Qifan Xiao, Mi Zhang, Min Yang: A Certifiable Security Patch for Object Tracking in Self-Driving Systems via Historical Deviation Modeling. CoRR abs/2207.08556 (2022)
Xudong Pan, Mi Zhang, Yifan Yan, Min Yang: Understanding the Threats of Trojaned Quantized Neural Network in Model Supply Chains. ACSAC 2021: 634-645
Daizong Ding, Mi Zhang, Hanrui Wang, Xudong Pan, Min Yang, Xiangnan He: A Deep Learning Framework for Self-evolving Hierarchical Community Detection. CIKM 2021: 372-381
Xiaoyu You, Mi Zhang, Daizong Ding, Fuli Feng, Yuanmin Huang: Learning to Learn the Future: Modeling Concept Drifts in Time Series Prediction. CIKM 2021: 2434-2443
Xudong Pan, Mi Zhang, Yifan Lu, Min Yang: TAFA: A Task-Agnostic Fingerprinting Algorithm for Neural Networks. ESORICS (1) 2021: 542-562
Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Xiangnan He: Improving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning. AAAI 2020: 3791-3800
Xiaohan Zhang, Yuan Zhang, Ming Zhong, Daizong Ding, Yinzhi Cao, Yukun Zhang, Mi Zhang, Min Yang: Enhancing State-of-the-art Classifiers with API Semantics to Detect Evolved Android Malware. CCS 2020: 757-770
Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Xiangnan He: Modeling Personalized Out-of-Town Distances in Location Recommendation. ICDM 2020: 112-121
Xudong Pan, Mi Zhang, Shouling Ji, Min Yang: Privacy Risks of General-Purpose Language Models. SP 2020: 1314-1331
Xudong Pan, Mi Zhang, Duocai Wu, Qifan Xiao, Shouling Ji, Min Yang: Justinian's GAAvernor: Robust Distributed Learning with Gradient Aggregation Agent. USENIX Security Symposium 2020: 1641-1658
Xudong Pan, Mi Zhang, Yifan Yan, Jiaming Zhu, Min Yang: Theory-Oriented Deep Leakage from Gradients via Linear Equation Solver. CoRR abs/2010.13356 (2020)
Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Xiangnan He: Modeling Extreme Events in Time Series Prediction. KDD 2019: 1114-1122
Ruozi Huang, Mi Zhang, Xudong Pan, Beina Sheng: How Sequence-to-Sequence Models Perceive Language Styles? CoRR abs/1908.05947 (2019)
Xudong Pan, Mi Zhang, Daizong Ding: Theoretical Analysis of Image-to-Image Translation with Adversarial Learning. ICML 2018: 4003-4012
Daizong Ding, Mi Zhang, Xudong Pan, Duocai Wu, Pearl Pu: Geographical Feature Extraction for Entities in Location-based Social Networks. WWW 2018: 833-842
Xudong Pan, Mi Zhang, Daizong Ding: Theoretical Analysis of Image-to-Image Translation with Adversarial Learning. CoRR abs/1806.07001 (2018)
Daizong Ding, Mi Zhang, Shao-Yuan Li, Jie Tang, Xiaotie Chen, Zhi-Hua Zhou: BayDNN: Friend Recommendation with Bayesian Personalized Ranking Deep Neural Network. CIKM 2017: 1479-1488
Mi Zhang, Jie Tang, Xuchen Zhang, Xiangyang Xue: Addressing cold start in recommender systems: a semi-supervised co-training algorithm. SIGIR 2014: 73-82
Mi Zhang, Neil Hurley, Wei Li, Xiangyang Xue: A Double-Ranking Strategy for Long-Tail Product Recommendation. Web Intelligence 2012: 282-286
Neil Hurley, Mi Zhang: Novelty and Diversity in Top-N Recommendation - Analysis and Evaluation. ACM Trans. Internet Techn. 10(4): 14:1-14:30 (2011)
Mi Zhang, Neil Hurley: Niche Product Retrieval in Top-N Recommendation. Web Intelligence 2010: 74-81
Mi Zhang, Neil Hurley: Evaluating the Diversity of Top-N Recommendations. ICTAI 2009: 457-460
Neil Hurley, Zunping Cheng, Mi Zhang: Statistical attack detection. RecSys 2009: 149-156
Mi Zhang: Enhancing diversity in Top-N recommendation. RecSys 2009: 397-400
Mi Zhang, Neil Hurley: Statistical Modeling of Diversity in Top-N Recommender Systems. Web Intelligence 2009: 490-497
Mi Zhang, Neil Hurley: Novel Item Recommendation by User Profile Partitioning. Web Intelligence 2009: 508-515
Neil Hurley, Mi Zhang: Analysis of Methods for Novel Case Selection. ICTAI (2) 2008: 217-224
Mi Zhang, Neil Hurley: Avoiding monotony: improving the diversity of recommendation lists. RecSys 2008: 123-130
Min Yang, Mi Zhang, Peng Han, Haiguang Chen, Xi Zhou, Dilin Mao, Chuanshan Gao: Using a Depth Tree Framework to Evaluate Change Impacts of Modifications to IT Infrastructure. ICE-B 2006: 88-92
Mi Zhang, Zunping Cheng, Ziji Ma, Binyu Zang: A Security Model Design in Web Service Environment. CIT 2005: 736-740
Mi Zhang, Jianjun Xu, Zunping Cheng, Yinsheng Li, Binyu Zang: A Web Service-Based Framework for Supply Chain Management. ISORC 2005: 316-319
Min Yang, Zunping Cheng, Ning Shang, Mi Zhang, Min Li, Jing Dai, Wei Wang, Dilin Mao, Chuanshan Gao: iOmS: An Agent-Based P2P Framework for Ubiquitous Workflow. GCC 2004: 997-1000
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