Mi Zhang

According to our database, Mi Zhang authored at least 60 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Navigate Beyond Shortcuts: Debiased Learning through the Lens of Neural Collapse.

Yining Wang, Junjie Sun, Chenyue Wang, Mi Zhang, Min Yang

CoRR, 2024

GNNFingers: A Fingerprinting Framework for Verifying Ownerships of Graph Neural Networks.

Xiaoyu You, Youhe Jiang, Jianwei Xu, Mi Zhang, Min Yang

Proceedings of the ACM on Web Conference 2024, 2024

BELT: Old-School Backdoor Attacks can Evade the State-of-the-Art Defense with Backdoor Exclusivity Lifting.

Huming Qiu, Junjie Sun, Mi Zhang, Xudong Pan, Min Yang

Proceedings of the IEEE Symposium on Security and Privacy, 2024

Towards Detection-Recovery Strategy for Robust Decentralized Matrix Factorization.

Yuanmin Huang, Mi Zhang, Daizong Ding, Erling Jiang, Qifan Xiao, Xiaoyu You, Yuan Tian, Min Yang

Proceedings of the Computer Security - ESORICS 2024, 2024

CausalPC: Improving the Robustness of Point Cloud Classification by Causal Effect Identification.

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

RRL: Recommendation Reverse Learning.

Xiaoyu You, Jianwei Xu, Mi Zhang, Zechen Gao, Min Yang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Enhancing Time Series Predictors With Generalized Extreme Value Loss.

Mi Zhang, Daizong Ding, Xudong Pan, Min Yang

IEEE Trans. Knowl. Data Eng., 2023

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 Trans. Dependable Secur. Comput., 2023

JADE: A Linguistics-based Safety Evaluation Platform for LLM.

Mi Zhang, Xudong Pan, Min Yang

CoRR, 2023

MIRA: Cracking Black-box Watermarking on Deep Neural Networks via Model Inversion-based Removal Attacks.

Yifan Lu, Wenxuan Li, Mi Zhang, Xudong Pan, Min Yang

CoRR, 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

Proceedings of the ACM Web Conference 2023, 2023

Anti-FakeU: Defending Shilling Attacks on Graph Neural Network based Recommender Model.

Xiaoyu You, Chi Li, Daizong Ding, Mi Zhang, Fuli Feng, Xudong Pan, Min Yang

Proceedings of the ACM Web Conference 2023, 2023

Rethinking White-Box Watermarks on Deep Learning Models under Neural Structural Obfuscation.

Yifan Yan, Xudong Pan, Mi Zhang, Min Yang

Proceedings of the 32nd USENIX Security Symposium, 2023

Exorcising "Wraith": Protecting LiDAR-based Object Detector in Automated Driving System from Appearing Attacks.

Qifan Xiao, Xudong Pan, Yifan Lu, Mi Zhang, Jiarun Dai, Min Yang

Proceedings of the 32nd USENIX Security Symposium, 2023

Cracking White-box DNN Watermarks via Invariant Neuron Transforms.

Xudong Pan, Mi Zhang, Yifan Yan, Yining Wang, Min Yang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

RØROS: Building a Responsive Online Recommender System via Meta-Gradients Updating.

Xudong Pan, Mi Zhang, Duocai Wu

Proceedings of the IEEE International Conference on Acoustics, 2023

CAP: Robust Point Cloud Classification via Semantic and Structural Modeling.

Daizong Ding, Erling Jiang, Yuanmin Huang, Mi Zhang, Wenxuan Li, Min Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SlowBERT: Slow-down Attacks on Input-adaptive Multi-exit BERT.

Shengyao Zhang, Xudong Pan, Mi Zhang, Min Yang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Black-Box Adversarial Attack on Time Series Classification.

Daizong Ding, Mi Zhang, Fuli Feng, Yuanmin Huang, Erling Jiang, Min Yang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A Geometrical Perspective on Image Style Transfer With Adversarial Learning.

Xudong Pan, Mi Zhang, Daizong Ding, Min Yang

IEEE Trans. Pattern Anal. Mach. Intell., 2022

A Certifiable Security Patch for Object Tracking in Self-Driving Systems via Historical Deviation Modeling.

Xudong Pan, Qifan Xiao, Mi Zhang, Min Yang

CoRR, 2022

Matryoshka: Stealing Functionality of Private ML Data by Hiding Models in Model.

Xudong Pan, Yifan Yan, Shengyao Zhang, Mi Zhang, Min Yang

CoRR, 2022

UTAF: A Universal Approach to Task-Agnostic Model Fingerprinting.

Xudong Pan, Mi Zhang, Yifan Yan

CoRR, 2022

Understanding the Practice of Security Patch Management across Multiple Branches in OSS Projects.

Xin Tan, Yuan Zhang, Jiajun Cao, Kun Sun, Mi Zhang, Min Yang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Exploring the Security Boundary of Data Reconstruction via Neuron Exclusivity Analysis.

Xudong Pan, Mi Zhang, Yifan Yan, Jiaming Zhu, Zhemin Yang

Proceedings of the 31st USENIX Security Symposium, 2022

Hidden Trigger Backdoor Attack on NLP Models via Linguistic Style Manipulation.

Xudong Pan, Mi Zhang, Beina Sheng, Jiaming Zhu, Min Yang

Proceedings of the 31st USENIX Security Symposium, 2022

House of Cans: Covert Transmission of Internal Datasets via Capacity-Aware Neuron Steganography.

Xudong Pan, Shengyao Zhang, Mi Zhang, Yifan Yan, Min Yang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MetaV: A Meta-Verifier Approach to Task-Agnostic Model Fingerprinting.

Xudong Pan, Yifan Yan, Mi Zhang, Min Yang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 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

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

TAFA: A Task-Agnostic Fingerprinting Algorithm for Neural Networks.

Xudong Pan, Mi Zhang, Yifan Lu, Min Yang

Proceedings of the Computer Security - ESORICS 2021, 2021

Learning to Learn the Future: Modeling Concept Drifts in Time Series Prediction.

Xiaoyu You, Mi Zhang, Daizong Ding, Fuli Feng, Yuanmin Huang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

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

Daizong Ding, Mi Zhang, Hanrui Wang, Xudong Pan, Min Yang, Xiangnan He

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Understanding the Threats of Trojaned Quantized Neural Network in Model Supply Chains.

Xudong Pan, Mi Zhang, Yifan Yan, Min Yang

Proceedings of the ACSAC '21: Annual Computer Security Applications Conference, Virtual Event, USA, December 6, 2021

2020

Theory-Oriented Deep Leakage from Gradients via Linear Equation Solver.

Xudong Pan, Mi Zhang, Yifan Yan, Jiaming Zhu, Min Yang

CoRR, 2020

Justinian's GAAvernor: Robust Distributed Learning with Gradient Aggregation Agent.

Xudong Pan, Mi Zhang, Duocai Wu, Qifan Xiao, Shouling Ji, Min Yang

Proceedings of the 29th USENIX Security Symposium, 2020

Privacy Risks of General-Purpose Language Models.

Xudong Pan, Mi Zhang, Shouling Ji, Min Yang

Proceedings of the 2020 IEEE Symposium on Security and Privacy, 2020

Modeling Personalized Out-of-Town Distances in Location Recommendation.

Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Xiangnan He

Proceedings of the 20th IEEE International Conference on Data Mining, 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

Proceedings of the CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020

Improving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning.

Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Xiangnan He

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

How Sequence-to-Sequence Models Perceive Language Styles?

Ruozi Huang, Mi Zhang, Xudong Pan, Beina Sheng

CoRR, 2019

Modeling Extreme Events in Time Series Prediction.

Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Xiangnan He

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Geographical Feature Extraction for Entities in Location-based Social Networks.

Daizong Ding, Mi Zhang, Xudong Pan, Duocai Wu, Pearl Pu

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Theoretical Analysis of Image-to-Image Translation with Adversarial Learning.

Xudong Pan, Mi Zhang, Daizong Ding

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

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

Daizong Ding, Mi Zhang, Shao-Yuan Li, Jie Tang, Xiaotie Chen, Zhi-Hua Zhou

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2014

Addressing cold start in recommender systems: a semi-supervised co-training algorithm.

Mi Zhang, Jie Tang, Xuchen Zhang, Xiangyang Xue

Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

2012

A Double-Ranking Strategy for Long-Tail Product Recommendation.

Mi Zhang, Neil Hurley, Wei Li, Xiangyang Xue

Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence, 2012

2011

Novelty and Diversity in Top-N Recommendation - Analysis and Evaluation.

Neil Hurley, Mi Zhang

ACM Trans. Internet Techn., 2011

2010

Niche Product Retrieval in Top-N Recommendation.

Mi Zhang, Neil Hurley

Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence, 2010

2009

Novel Item Recommendation by User Profile Partitioning.

Mi Zhang, Neil Hurley

Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence, 2009

Statistical Modeling of Diversity in Top-N Recommender Systems.

Mi Zhang, Neil Hurley

Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence, 2009

Enhancing diversity in Top-N recommendation.

Mi Zhang

Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

Statistical attack detection.

Neil Hurley, Zunping Cheng, Mi Zhang

Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

Evaluating the Diversity of Top-N Recommendations.

Mi Zhang, Neil Hurley

Proceedings of the ICTAI 2009, 2009

2008

Avoiding monotony: improving the diversity of recommendation lists.

Mi Zhang, Neil Hurley

Proceedings of the 2008 ACM Conference on Recommender Systems, 2008

Analysis of Methods for Novel Case Selection.

Neil Hurley, Mi Zhang

Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008

2006

Using a Depth Tree Framework to Evaluate Change Impacts of Modifications to IT Infrastructure.

Min Yang, Mi Zhang, Peng Han, Haiguang Chen, Xi Zhou, Dilin Mao, Chuanshan Gao

Proceedings of the ICE-B 2006, 2006

2005

A Web Service-Based Framework for Supply Chain Management.

Mi Zhang, Jianjun Xu, Zunping Cheng, Yinsheng Li, Binyu Zang

Proceedings of the Eighth IEEE International Symposium on Object-Oriented Real-Time Distributed Computing (ISORC 2005), 2005

ADDI: an agent-based extension to UDDI for supply chain management.

Mi Zhang, Zunping Cheng, Yongzun Zhao, Joshua Zhexue Huang, Yinsheng Li, Binyu Zang

Proceedings of the Ninth International Conference on Computer Supported Cooperative Work in Design, 2005

A Security Model Design in Web Service Environment.

Mi Zhang, Zunping Cheng, Ziji Ma, Binyu Zang

Proceedings of the Fifth International Conference on Computer and Information Technology (CIT 2005), 2005

2004

iOmS: An Agent-Based P2P Framework for Ubiquitous Workflow.

Min Yang, Zunping Cheng, Ning Shang, Mi Zhang, Min Li, Jing Dai, Wei Wang, Dilin Mao, Chuanshan Gao

Proceedings of the Grid and Cooperative Computing, 2004