a picture of Mi Zhang


张谧

教授，博导
复旦大学
计算机科学技术学院
系统软件与安全实验室
白泽智能团队负责人
Email: mi_zhang at fudan.edu.cn
Google Scholar| DBLP| Research Gate
简介 论文发表 专利 奖项荣誉 团队成员 社会服务 English Version

简介

奖项荣誉

论文发表

2023

Cracking White-box DNN Watermarks via Invariant Neuron Transforms
Xudong Pan, Mi Zhang✉, Yifan Yan, Yining Wang, Min Yang. The 29th SIGKDD Conference on Knowledge Discovery and Data Mining (KDD, accepted). 2023.

Exorcising “Wraith”: Protecting LiDAR-based Object Detector in Automated Driving System from Appearing Attacks
Qifan Xiao*, Xudong Pan*, Yifan Lu, Mi Zhang✉, Min Yang. The 32nd USENIX Security Symposium (USENIX Security, accepted). 2023.

Rethinking White-Box Watermarks on Deep Learning Models under Neural Structural Obfuscation
Yifan Yan*, Xudong Pan*, Mi Zhang✉, Min Yang. The 32nd USENIX Security Symposium (USENIX Security, accepted). 2023.

RØROS: Building a Responsive Online Recommender System via Meta-Gradients Updating.
Xudong Pan, Mi Zhang✉, Duocai Wu. 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP, accepted) 2023.

MaSS: Model-agnostic, Semantic and Stealthy Data Poisoning Attack on Knowledge Graph Embedding
Xiaoyu You, Beina Sheng, Daizong Ding, Mi Zhang✉, Xudong Pan, Min Yang, Fuli Feng. The Web Conference (WWW, accepted), 2023.

Anti-FakeU: Defending Shilling Attacks on Graph Neural Network based Recommender Model
Xiaoyu You, Chi Lee, Daizong Ding, Mi Zhang✉, Fuli Feng, Xudong Pan, Min Yang. The Web Conference (WWW, accepted), 2023.

AutoGCF: Personalized Aggregation on Neural Graph Collaborative Filtering
Xiaoyu You, Chi Li, Jianwei Xu, Mi Zhang✉. 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP, accepted), 2023.

CAP: Robust Point Cloud Classification via Semantic and Structural Modeling
Daizong Ding, Erling Jiang, Yuanmin Huang, Mi Zhang✉, Wenxuan Li, Min Yang. The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023 (CVPR, accepted), 2023.

Black-box Adversarial Attack on Time Series Classification
Daizong Ding, Mi Zhang✉, Yuanmin Huang, Erling Jiang, Min Yang. The 37th AAAI Conference on Artificial Intelligence (AAAI, accepted), 2023.

2022

House of Cans: Covert Transmission of Internal Datasets via Capacity-Aware Neuron Steganography
Xudong Pan, Shengyao Zhang, Mi Zhang✉, Yifan Yan, Min Yang. The 36th Annual Conference on Neural Information Processing Systems (NeurIPS) , 2022.

Slowing Down the Aging of Learning-based Malware Detectors with API Knowledge
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.

MetaV: A Meta-Verifier Approach to Task-Agnostic Model Fingerprinting
Xudong Pan, Yifan Yan, Mi Zhang✉, Min Yang. The 28th SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) , P1327-1336, 2022.

Hidden Trigger Backdoor Attack on NLP Models via Linguistic Style Manipulation
Xudong Pan, Mi Zhang✉, Beina Sheng, Jiaming Zhu, Min Yang. The 31st USENIX Security Symposium (USENIX Security) , P3611-3628, 2022.

Towards Backdoor Attack on Deep Learning based Time Series Classification
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.

Exploring the Security Boundary of Data Reconstruction via Neuron Exclusivity Analysis
Xudong Pan, Mi Zhang✉, Yifan Yan, Jiaming Zhu, Min Yang. The 31st USENIX Security Symposium (USENIX Security), , P3989-4006, 2022.

2021

Understanding the Threats of Trojaned Quantized Neural Network in Model Supply Chains
Xudong Pan, Mi Zhang✉, Yifan Yan, Min Yang. The 38th Annual Computer Security Applications Conference (ACSAC), , P634–645, 2021.

Enhancing Time Series Predictors with Generalized Extreme Value Loss
Mi Zhang✉, Daizong Ding, Xudong Pan, Min Yang. IEEE Transactions on Knowledge and Data Engineering (TKDE), , Early Access, 2021.

A Deep Learning Framework for Self-evolving Hierarchical Community Detection
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.

Learning to Learn the Future: Modeling Concept Drift in Time Series Prediction
Xiaoyu You, Mi Zhang✉, Daizong Ding, Fuli Feng, Yuanmin Huang. The 30th ACM International Conference on Information and Knowledge Management (CIKM), , P2434–2443, 2021.

TAFA: A Task-Agnostic Fingerprinting Algorithm for Neural Networks
Xudong Pan, Mi Zhang✉, Yifan Lu, Min Yang. The 26th European Symposium on Research in Computer Security (ESORICS), , P542-562, 2021.

2020

A Geometrical Perspective on Image Style Transfer with Adversarial Learning
Xudong Pan, Mi Zhang✉, Daizong Ding, Min Yang. IEEE Transaction on Pattern Analysis and Machine Intelligence (TPAMI), , 44(1), 2020.

Modeling Personalized Out-of-Town Distances in Location Recommendation
Daizong Ding, Mi Zhang✉, Xudong Pan, Xiangnan He, Min Yang. The 20th IEEE International Conference on Data Mining (ICDM), P112-121, 2020.

Improving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning
Daizong Ding, Mi Zhang✉, Xudong Pan, Xiangnan He, Min Yang. The 34th AAAI Conference on Artificial Intelligence (AAAI), , P3791-3800, 2020.

Enhancing State-of-the-art Classifiers with API Semantics to Detect Evolved Android Malware
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. 最佳论文提名奖

Justinian's GAAvernor: Robust Distributed Learning with Gradient Aggregation Agent
Xiaohan Zhang, Yuan Zhang, Ming Zhong, Daizong Ding, Yinzhi Cao, Yukun Zhang, Mi Zhang✉, Min Yang. The 29th USENIX Security Symposium (USENIX Security) , P1641-1658, 2020.

Privacy Risks of General-Purpose Language Models
Xudong Pan, Mi Zhang✉, Shouling Ji, Min Yang. 2020 IEEE Symposium on Security and Privacy (S&P) , P1471-1488, 2020. 世界人工智能大会WAIC青年优秀论文提名奖

2019

Modeling Extreme Events in Time Series Prediction
Daizong Ding, Mi Zhang✉, Xudong Pan, Xiangnan He, Min Yan The 25th SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) , P1114-1122, 2019.

2018

Theoretical Analysis of Image-to-Image Translation with Adversarial Learning
Xudong Pan, Mi Zhang✉, Daizong Ding The 35th International Conference on Machine Learning (ICML) , P4006-4015, 2018.

Geographical Feature Extraction for Entities in Location-based Social Networks
Xudong Pan, Mi Zhang✉, Daizong Ding The 2018 World Wide Web Conference (WWW) , P833-842, 2018.

2017 and Before

BayDNN: Friend Recommendation with Bayesian Personalized Ranking Deep Neural Network
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.

Cold Start in Recommender Systems: A Semi-Supervised Co-Training Algorithm
Mi Zhang✉, Jie Tang, Xuchen Zhang, Xiangyang Xue The 37th Annual ACM SIGIR Conference (SIGIR), 2014.

A Double-Ranking Strategy for Long-Tail Product Recommendation
Mi Zhang, Neil Hurley, Wei Li, Xiangyang Xue The 2012 IEEE/WIC/ACM International Conferences on Web Intelligence (WI/IAT), 2012.

Novelty and Diversity in Top-N Recommendation-Analysis and Evaluation
Neil Hurley and Mi Zhang✉ ACM transaction of internet technology (TOIT), 10(4), 14, 2011.

Niche Product Retrieval in Top-N Recommendation
Mi Zhang and Neil Hurley the 2010 IEEE/WIC/ACM International Conferences on Web Intelligence (WI/IAT), P74-81, 2010. 最佳论文奖

Statistical Attack Detection
Neil Hurley, Zunping Cheng, Mi Zhang 2009 ACM International Conference on Recommender Systems (ACM Recsys), P149-156, 2009.

Evaluating the Diversity of Top-N Recommendations
Mi Zhang and Neil Hurley 21th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), P457–460, 2009.

Enhancing Diversity in Top-N Recommendation
Mi Zhang and Neil Hurley The 2009 ACM International Conference on Recommender Systems (ACM Recsys), P397-400, 2009.

Top-N Novel Recommendation by User Profile Partitioning
Mi Zhang and Neil Hurley The 2009 IEEE/WIC/ACM International Conferences on Web Intelligence (WI/IAT), P508-515, 2009.

Statistical Modeling of Diversity in Top-N Recommender Systems
Mi Zhang and Neil Hurley The 2009 IEEE/WIC/ACM International Conferences on Web Intelligence (WI/IAT), P490-497, 2009.

Spam User Detection: Problem Definition and Strategy Analysis
Mi Zhang and Neil Hurley The 19th Irish Conference on Artificial Intelligence and Cognitive Science (AICS), 2008.

Avoiding Monotony: Improving the Diversity of Recommendation Lists
Mi Zhang and Neil Hurley 2008 ACM International Conference on Recommender Systems (ACM Recsys), P123-130, 2008.

Analysis of Methods for Novel Case Selection
Neil Hurley and Mi Zhang 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), P217-224, 2008.

Using A Depth Tree Framework to Evaluate Change Impacts of Modifications to IT Infrastructure
Min Yang, Mi Zhang, et al., International Joint Conference on e-Business and Telecommunications, In Conjunction with ACM SIGMIS, 2006.

A Security Model Design in Web Service Environment
Mi Zhang, et al., The 5th International Conference on Computer and Information Technology (CIT 2005), 2005.

A Web Service-based Framework for Supply Chain Management
Mi Zhang, et al., The 8th IEEE International Symposium on Object-Oriented Real Time Distributed Computing (ISORC 2005), 2005.

专利

一种提升时间序列预测系统预测时间序列效果的方法，国家发明专利, 2022.

一种基于独占神经元的训练数据逆向重建方法，国家发明专利, 2022.

一种下游任务解耦的神经网络指纹检测方法，国家发明专利, 2022.

一种提升社交网络层次化社区检测划分效果的方法，国家发明专利, 2022.

一种基于自适应指纹的元学习神经网络指纹检测方法，国家发明专利, 2022.

一种基于API关系图谱的恶意软件检测模型抗老化增强方法，国家发明专利, 2021.

适配智能芯片分级架构的基于深度学习的恶意软件检测方法，国家发明专利, 2021.

一种基于代码文档的安卓API语义关系图谱构建方法，国家发明专利, 2021.

基于动态行为序列和深度学习的恶意行为实时检测系统，国家发明专利, 2021.

一种提升分布式学习系统拜占庭鲁棒性的防御代理方法，国家发明专利, 2020.

学生

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