Wanlei Zhou

ORCID

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 102

Top Venues

CoRR

IEEE Trans. Knowl. Data Eng.

IEEE Trans. Inf. Forensics Secur.

Knowl. Based Syst.

Publications

Faqian Guan, Tianqing Zhu, Wanlei Zhou, Kim-Kwang Raymond Choo
Graph neural networks: a survey on the links between privacy and security. Artif. Intell. Rev. 57 (2) (2024)
Laiqiao Qin, Tianqing Zhu, Wanlei Zhou, Philip S. Yu
Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions. CoRR (2024)
Heng Xu, Tianqing Zhu, Lefeng Zhang, Wanlei Zhou, Wei Zhao
Towards Efficient Target-Level Machine Unlearning Based on Essential Graph. CoRR (2024)
Faqian Guan, Tianqing Zhu, Hui Sun, Wanlei Zhou, Philip S. Yu
Large Language Models for Link Stealing Attacks Against Graph Neural Networks. CoRR (2024)
Mengde Han, Tianqing Zhu, Wanlei Zhou
Fair Federated Learning with Opposite GAN. Knowl. Based Syst. 287 (2024)
Xuhan Zuo, Minghao Wang, Tianqing Zhu, Lefeng Zhang, Shui Yu, Wanlei Zhou
Federated Learning with Blockchain-Enhanced Machine Unlearning: A Trustworthy Approach. CoRR (2024)
Hui Sun, Tianqing Zhu, Wenhan Chang, Wanlei Zhou
A two-stage model extraction attack on GANs with a small collected dataset. Comput. Secur. 137 (2024)
Huajie Chen, Chi Liu, Tianqing Zhu, Wanlei Zhou
When deep learning meets watermarking: A survey of application, attacks and defenses. Comput. Stand. Interfaces 89 (2024)
Dayong Ye, Tianqing Zhu, Kun Gao, Wanlei Zhou
Defending Against Label-Only Attacks via Meta-Reinforcement Learning. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Huiqiang Chen, Tianqing Zhu, Tao Zhang, Wanlei Zhou, Philip S. Yu
Privacy and Fairness in Federated Learning: On the Perspective of Tradeoff. ACM Comput. Surv. 56 (2) (2024)
Heng Xu, Tianqing Zhu, Wanlei Zhou, Wei Zhao
Don't Forget Too Much: Towards Machine Unlearning on Feature Level. CoRR (2024)
Guangsheng Zhang, Bo Liu, Huan Tian, Tianqing Zhu, Ming Ding, Wanlei Zhou
How Does a Deep Learning Model Architecture Impact Its Privacy? A Comprehensive Study of Privacy Attacks on CNNs and Transformers. USENIX Security Symposium (2024)
Shang Wang, Tianqing Zhu, Bo Liu, Ming Ding, Xu Guo, Dayong Ye, Wanlei Zhou, Philip S. Yu
Unique Security and Privacy Threats of Large Language Model: A Comprehensive Survey. CoRR (2024)
Huajie Chen, Tianqing Zhu, Lefeng Zhang, Bo Liu, Derui Wang, Wanlei Zhou, Minhui Xue
QUEEN: Query Unlearning against Model Extraction. CoRR (2024)
Heng Xu, Tianqing Zhu, Lefeng Zhang, Wanlei Zhou, Philip S. Yu
Update Selective Parameters: Federated Machine Unlearning Based on Model Explanation. CoRR (2024)
Feng He, Tianqing Zhu, Dayong Ye, Bo Liu, Wanlei Zhou, Philip S. Yu
The Emerged Security and Privacy of LLM Agent: A Survey with Case Studies. CoRR (2024)
Linlin Wang, Tianqing Zhu, Wanlei Zhou, Philip S. Yu
Linkage on Security, Privacy and Fairness in Federated Learning: New Balances and New Perspectives. CoRR (2024)
Congcong Zhu, Dayong Ye, Huan Huo, Wanlei Zhou, Tianqing Zhu
A location-based advising method in teacher-student frameworks. Knowl. Based Syst. 285 (2024)
Shuai Zhou, Tianqing Zhu, Dayong Ye, Wanlei Zhou, Wei Zhao
Inversion-Guided Defense: Detecting Model Stealing Attacks by Output Inverting. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Minghao Wang, Tianqing Zhu, Xuhan Zuo, Dayong Ye, Shui Yu, Wanlei Zhou
Blockchain-Based Gradient Inversion and Poisoning Defense for Federated Learning. IEEE Internet Things J. 11 (9) (2024)
Faqian Guan, Tianqing Zhu, Hanjin Tong, Wanlei Zhou
A realistic model extraction attack against graph neural networks. Knowl. Based Syst. 300 (2024)
Heng Xu, Tianqing Zhu, Lefeng Zhang, Wanlei Zhou
Really Unlearned? Verifying Machine Unlearning via Influential Sample Pairs. CoRR (2024)
Chi Liu, Tianqing Zhu, Yuan Zhao, Jun Zhang, Wanlei Zhou
Disentangling different levels of GAN fingerprints for task-specific forensics. Comput. Stand. Interfaces 89 (2024)
Yajie Wang, Yi Wu, Shangbo Wu, Ximeng Liu, Wanlei Zhou, Liehuang Zhu, Chuan Zhang
Boosting the Transferability of Adversarial Attacks With Frequency-Aware Perturbation. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Huiqiang Chen, Tianqing Zhu, Xin Yu, Wanlei Zhou
Machine Unlearning via Null Space Calibration. CoRR (2024)
Xiaoya Wang, Tianqing Zhu, Wanlei Zhou
Supplement data in federated learning with a generator transparent to clients. Inf. Sci. 666 (2024)
Yunjiao Lei, Dayong Ye, Congcong Zhu, Sheng Shen, Wanlei Zhou, Tianqing Zhu
A GNN-based teacher-student framework with multi-advice. Expert Syst. Appl. 250 (2024)
Hui Sun, Tianqing Zhu, Jie Li, Shouling Ji, Wanlei Zhou
Attribute-Based Membership Inference Attacks and Defenses on GANs. IEEE Trans. Dependable Secur. Comput. 21 (4) (2024)
Heng Xu, Tianqing Zhu, Lefeng Zhang, Wanlei Zhou, Philip S. Yu
Machine Unlearning: A Survey. ACM Comput. Surv. 56 (1) (2024)
Minghao Wang, Tianqing Zhu, Xuhan Zuo, Dayong Ye, Shui Yu, Wanlei Zhou
Blockchain-Empowered Multiagent Systems: Advancing IoT Security and Transaction Efficiency. IEEE Internet Things J. 11 (7) (2024)
Yuan Zhao, Bo Liu, Tianqing Zhu, Ming Ding, Xin Yu, Wanlei Zhou
Proactive image manipulation detection via deep semi-fragile watermark. Neurocomputing 585 (2024)
Kun Gao, Tianqing Zhu, Dayong Ye, Wanlei Zhou
Defending against gradient inversion attacks in federated learning via statistical machine unlearning. Knowl. Based Syst. 299 (2024)
Shuai Zhou, Tianqing Zhu, Dayong Ye, Xin Yu, Wanlei Zhou
Boosting Model Inversion Attacks With Adversarial Examples. IEEE Trans. Dependable Secur. Comput. 21 (3) (2024)
Guangsheng Zhang, Bo Liu, Tianqing Zhu, Ming Ding, Wanlei Zhou
PPFed: A Privacy-Preserving and Personalized Federated Learning Framework. IEEE Internet Things J. 11 (11) (2024)
Xuhan Zuo, Minghao Wang, Tianqing Zhu, Lefeng Zhang, Dayong Ye, Shui Yu, Wanlei Zhou
Federated TrustChain: Blockchain-Enhanced LLM Training and Unlearning. CoRR (2024)
Minghao Wang, Tianqing Zhu, Xuhan Zuo, Dayong Ye, Shui Yu, Wanlei Zhou
Public and Private Blockchain Infusion: A Novel Approach to Federated Learning. IEEE Internet Things J. 11 (10) (2024)
Congcong Zhu, Dayong Ye, Tianqing Zhu, Wanlei Zhou
Location-Based Real-Time Updated Advising Method for Traffic Signal Control. IEEE Internet Things J. 11 (8) (2024)
Wenhan Chang, Tianqing Zhu, Heng Xu, Wenjian Liu, Wanlei Zhou
Class Machine Unlearning for Complex Data via Concepts Inference and Data Poisoning. CoRR (2024)
Suleiman Abahussein, Tianqing Zhu, Dayong Ye, Zishuo Cheng, Wanlei Zhou
Protect Trajectory Privacy in Food Delivery with Differential Privacy and Multi-agent Reinforcement Learning. AINA (3) (2023)
Huan Tian, Guangsheng Zhang, Bo Liu, Tianqing Zhu, Ming Ding, Wanlei Zhou
FD-MIA: Efficient Attacks on Fairness-enhanced Models. CoRR (2023)
Xiangyu Hu, Tianqing Zhu, Xuemeng Zhai, Wanlei Zhou, Wei Zhao
Privacy Data Propagation and Preservation in Social Media: A Real-World Case Study. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Hui Sun, Tianqing Zhu, Zhiqiu Zhang, Dawei Jin, Ping Xiong, Wanlei Zhou
Adversarial Attacks Against Deep Generative Models on Data: A Survey. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Shuai Zhou, Chi Liu, Dayong Ye, Tianqing Zhu, Wanlei Zhou, Philip S. Yu
Adversarial Attacks and Defenses in Deep Learning: From a Perspective of Cybersecurity. ACM Comput. Surv. 55 (8) (2023)
Tao Zhang, Tianqing Zhu, Kun Gao, Wanlei Zhou, Philip S. Yu
Balancing Learning Model Privacy, Fairness, and Accuracy With Early Stopping Criteria. IEEE Trans. Neural Networks Learn. Syst. 34 (9) (2023)
Dayong Ye, Tianqing Zhu, Congcong Zhu, Derui Wang, Jason Xue, Sheng Shen, Wanlei Zhou
Reinforcement Unlearning. CoRR (2023)
Huajie Chen, Tianqing Zhu, Yuan Zhao, Bo Liu, Xin Yu, Wanlei Zhou
Low-frequency Image Deep Steganography: Manipulate the Frequency Distribution to Hide Secrets with Tenacious Robustness. CoRR (2023)
Yunjiao Lei, Dayong Ye, Sheng Shen, Yulei Sui, Tianqing Zhu, Wanlei Zhou
New challenges in reinforcement learning: a survey of security and privacy. Artif. Intell. Rev. 56 (7) (2023)
Congcong Zhu, Zishuo Cheng, Dayong Ye, Farookh Khadeer Hussain, Tianqing Zhu, Wanlei Zhou
Time-Driven and Privacy-Preserving Navigation Model for Vehicle-to-Vehicle Communication Systems. IEEE Trans. Veh. Technol. 72 (7) (2023)
Xuemeng Zhai, Zhiwei Tang, Zhiwei Liu, Wanlei Zhou, Hangyu Hu, Gaolei Fei, Guangmin Hu
Sparse representation for heterogeneous information networks. Neurocomputing 525 (2023)
Penghui Wen, Kun Hu, Wenxi Yue, Sen Zhang, Wanlei Zhou, Zhiyong Wang
Robust Audio Anti-Spoofing with Fusion-Reconstruction Learning on Multi-Order Spectrograms. CoRR (2023)
Zishuo Cheng, Tianqing Zhu, Congcong Zhu, Dayong Ye, Wanlei Zhou, Philip S. Yu
Privacy and evolutionary cooperation in neural-network-based game theory. Knowl. Based Syst. 282 (2023)
Penghui Wen, Kun Hu, Wenxi Yue, Sen Zhang, Wanlei Zhou, Zhiyong Wang
Robust Audio Anti-Spoofing with Fusion-Reconstruction Learning on Multi-Order Spectrograms. INTERSPEECH (2023)
Xiangyu Hu, Tianqing Zhu, Xuemeng Zhai, Hengming Wang, Wanlei Zhou, Wei Zhao
Privacy Data Diffusion Modeling and Preserving in Online Social Network. IEEE Trans. Knowl. Data Eng. 35 (6) (2023)
Tao Zhang, Tianqing Zhu, Jing Li, Wanlei Zhou, Philip S. Yu
Revisiting model fairness via adversarial examples. Knowl. Based Syst. 277 (2023)
Chi Liu, Huajie Chen, Tianqing Zhu, Jun Zhang, Wanlei Zhou
Making DeepFakes More Spurious: Evading Deep Face Forgery Detection via Trace Removal Attack. IEEE Trans. Dependable Secur. Comput. 20 (6) (2023)
Huiqiang Chen, Tianqing Zhu, Tao Zhang, Wanlei Zhou, Philip S. Yu
Privacy and Fairness in Federated Learning: on the Perspective of Trade-off. CoRR (2023)
Lefeng Zhang, Tianqing Zhu, Haibin Zhang, Ping Xiong, Wanlei Zhou
FedRecovery: Differentially Private Machine Unlearning for Federated Learning Frameworks. IEEE Trans. Inf. Forensics Secur. 18 (2023)
Tianqing Zhu, Dayong Ye, Shuai Zhou, Bo Liu, Wanlei Zhou
Label-Only Model Inversion Attacks: Attack With the Least Information. IEEE Trans. Inf. Forensics Secur. 18 (2023)
Chi Liu, Tianqing Zhu, Jun Zhang, Wanlei Zhou
Privacy Intelligence: A Survey on Image Privacy in Online Social Networks. ACM Comput. Surv. 55 (8) (2023)
Lefeng Zhang, Tianqing Zhu, Ping Xiong, Wanlei Zhou, Philip S. Yu
A Game-Theoretic Federated Learning Framework for Data Quality Improvement. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Dayong Ye, Tianqing Zhu, Congcong Zhu, Wanlei Zhou, Philip S. Yu
Model-Based Self-Advising for Multi-Agent Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (10) (2023)
Chi Liu, Tianqing Zhu, Sheng Shen, Wanlei Zhou
Towards Robust Gan-Generated Image Detection: A Multi-View Completion Representation. IJCAI (2023)
Huajie Chen, Tianqing Zhu, Chi Liu, Shui Yu, Wanlei Zhou
High-frequency Matters: An Overwriting Attack and defense for Image-processing Neural Network Watermarking. CoRR (2023)
Hui Sun, Tianqing Zhu, Wenhan Chang, Wanlei Zhou
Generative Adversarial Networks Unlearning. CoRR (2023)
Huan Tian, Bo Liu, Tianqing Zhu, Wanlei Zhou, Philip S. Yu
CIFair: Constructing continuous domains of invariant features for image fair classifications. Knowl. Based Syst. 268 (2023)
Tao Zhang, Dayong Ye, Tianqing Zhu, Tingting Liao, Wanlei Zhou
Evolution of cooperation in malicious social networks with differential privacy mechanisms. Neural Comput. Appl. 35 (18) (2023)
Minghao Wang, Tianqing Zhu, Xuhan Zuo, Mengmeng Yang, Shui Yu, Wanlei Zhou
Differentially Private Crowdsourcing With the Public and Private Blockchain. IEEE Internet Things J. 10 (10) (2023)
Lefeng Zhang, Tianqing Zhu, Farookh Khadeer Hussain, Dayong Ye, Wanlei Zhou
A Game-Theoretic Method for Defending Against Advanced Persistent Threats in Cyber Systems. IEEE Trans. Inf. Forensics Secur. 18 (2023)
Yunjiao Lei, Dayong Ye, Sheng Shen, Yulei Sui, Tianqing Zhu, Wanlei Zhou
New Challenges in Reinforcement Learning: A Survey of Security and Privacy. CoRR (2023)
Guangsheng Zhang, Bo Liu, Tianqing Zhu, Ming Ding, Wanlei Zhou
Label-Only Membership Inference Attacks and Defenses in Semantic Segmentation Models. IEEE Trans. Dependable Secur. Comput. 20 (2) (2023)
Lefeng Zhang, Tianqing Zhu, Ping Xiong, Wanlei Zhou, Philip S. Yu
A Robust Game-Theoretical Federated Learning Framework With Joint Differential Privacy. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Tianqing Zhu, Dayong Ye, Zishuo Cheng, Wanlei Zhou, Philip S. Yu
Learning Games for Defending Advanced Persistent Threats in Cyber Systems. IEEE Trans. Syst. Man Cybern. Syst. 53 (4) (2023)
Shuai Zhou, Tianqing Zhu, Dayong Ye, Xin Yu, Wanlei Zhou
Boosting Model Inversion Attacks with Adversarial Examples. CoRR (2023)
Tao Zhang, Tianqing Zhu, Mengde Han, Fengwen Chen, Jing Li, Wanlei Zhou, Philip S. Yu
Fairness in graph-based semi-supervised learning. Knowl. Inf. Syst. 65 (2) (2023)
Chi Liu, Tianqing Zhu, Sheng Shen, Wanlei Zhou
Towards Robust GAN-generated Image Detection: a Multi-view Completion Representation. CoRR (2023)
Heng Xu, Tianqing Zhu, Lefeng Zhang, Wanlei Zhou, Philip S. Yu
Machine Unlearning: A Survey. CoRR (2023)
Huan Tian, Tianqing Zhu, Wanlei Zhou
Fairness and privacy preservation for facial images: GAN-based methods. Comput. Secur. 122 (2022)
Suleiman Abahussein, Zishuo Cheng, Tianqing Zhu, Dayong Ye, Wanlei Zhou
Privacy-Preserving in Double Deep-Q-Network with Differential Privacy in Continuous Spaces. AI (2022)
Tianqing Zhu, Jin Li, Xiangyu Hu, Ping Xiong, Wanlei Zhou
The Dynamic Privacy-Preserving Mechanisms for Online Dynamic Social Networks. IEEE Trans. Knowl. Data Eng. 34 (6) (2022)
Congcong Zhu, Dayong Ye, Tianqing Zhu, Wanlei Zhou
Time-optimal and privacy preserving route planning for carpool policy. World Wide Web 25 (3) (2022)
Guangsheng Zhang, Bo Liu, Tianqing Zhu, Andi Zhou, Wanlei Zhou
Visual privacy attacks and defenses in deep learning: a survey. Artif. Intell. Rev. 55 (6) (2022)
Tao Zhang, Tianqing Zhu, Jing Li, Mengde Han, Wanlei Zhou, Philip S. Yu
Fairness in Semi-Supervised Learning: Unlabeled Data Help to Reduce Discrimination. IEEE Trans. Knowl. Data Eng. 34 (4) (2022)
Zichuan Xu, Haozhe Ren, Weifa Liang, Qiufen Xia, Wanlei Zhou, Pan Zhou, Wenzheng Xu, Guowei Wu, Mingchu Li
Near Optimal Learning-Driven Mechanisms for Stable NFV Markets in Multitier Cloud Networks. IEEE/ACM Trans. Netw. 30 (6) (2022)
Huan Tian, Tianqing Zhu, Wei Liu, Wanlei Zhou
Image fairness in deep learning: problems, models, and challenges. Neural Comput. Appl. 34 (15) (2022)
Kasra Majbouri Yazdi, Jingyu Hou, Saeid Khodayi, Adel Majbouri Yazdi, Saeed Saedi, Wanlei Zhou
Data forwarding: A new VoteRank and Assortativity based approach to improve propagation time in social networks. J. High Speed Networks 28 (4) (2022)
Sheng Shen, Tianqing Zhu, Di Wu, Wei Wang, Wanlei Zhou
From distributed machine learning to federated learning: In the view of data privacy and security. Concurr. Comput. Pract. Exp. 34 (16) (2022)
Mengde Han, Tianqing Zhu, Wanlei Zhou
Momentum Gradient Descent Federated Learning with Local Differential Privacy. CoRR (2022)
Jing Li, Weifa Liang, Zichuan Xu, Xiaohua Jia, Wanlei Zhou
Service Provisioning for Multi-source IoT Applications in Mobile Edge Computing. ACM Trans. Sens. Networks 18 (2) (2022)
Dayong Ye, Huiqiang Chen, Shuai Zhou, Tianqing Zhu, Wanlei Zhou, Shouling Ji
Model Inversion Attack against Transfer Learning: Inverting a Model without Accessing It. CoRR (2022)
Dayong Ye, Tianqing Zhu, Shuai Zhou, Bo Liu, Wanlei Zhou
Label-only Model Inversion Attack: The Attack that Requires the Least Information. CoRR (2022)
Guangsheng Zhang, Bo Liu, Huan Tian, Tianqing Zhu, Ming Ding, Wanlei Zhou
How Does a Deep Learning Model Architecture Impact Its Privacy? CoRR (2022)
Dayong Ye, Sheng Shen, Tianqing Zhu, Bo Liu, Wanlei Zhou
One Parameter Defense - Defending Against Data Inference Attacks via Differential Privacy. IEEE Trans. Inf. Forensics Secur. 17 (2022)
Tao Zhang, Tianqing Zhu, Renping Liu, Wanlei Zhou
Correlated data in differential privacy: Definition and analysis. Concurr. Comput. Pract. Exp. 34 (16) (2022)
Dayong Ye, Tianqing Zhu, Zishuo Cheng, Wanlei Zhou, Philip S. Yu
Differential Advising in Multiagent Reinforcement Learning. IEEE Trans. Cybern. 52 (6) (2022)
Dayong Ye, Sheng Shen, Tianqing Zhu, Bo Liu, Wanlei Zhou
One Parameter Defense - Defending against Data Inference Attacks via Differential Privacy. CoRR (2022)
Tianqing Zhu, Dayong Ye, Wei Wang, Wanlei Zhou, Philip S. Yu
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence. IEEE Trans. Knowl. Data Eng. 34 (6) (2022)
Chi Liu, Huajie Chen, Tianqing Zhu, Jun Zhang, Wanlei Zhou
Making DeepFakes more spurious: evading deep face forgery detection via trace removal attack. CoRR (2022)
Shi-Jinn Horng, Julian Supardi, Wanlei Zhou, Chin-Teng Lin, Bin Jiang
Recognizing Very Small Face Images Using Convolution Neural Networks. IEEE Trans. Intell. Transp. Syst. 23 (3) (2022)
Weifa Liang, Yu Ma, Wenzheng Xu, Zichuan Xu, Xiaohua Jia, Wanlei Zhou
Request Reliability Augmentation With Service Function Chain Requirements in Mobile Edge Computing. IEEE Trans. Mob. Comput. 21 (12) (2022)
Dayong Ye, Tianqing Zhu, Sheng Shen, Wanlei Zhou, Philip S. Yu
Differentially Private Multi-Agent Planning for Logistic-Like Problems. IEEE Trans. Dependable Secur. Comput. 19 (2) (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Wanlei Zhou