Tianqing Zhu

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 232

Top Venues

CoRR

Concurr. Comput. Pract. Exp.

IEEE Internet Things J.

IEEE Trans. Knowl. Data Eng.

Publications

Wei Zhou, Tianqing Zhu, Dayong Ye, Wei Ren, Kim-Kwang Raymond Choo
A Concurrent Federated Reinforcement Learning for IoT Resources Allocation With Local Differential Privacy. IEEE Internet Things J. 11 (4) (2024)
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)
Jiyao Li, Mingze Ni, Yifei Dong, Tianqing Zhu, Wei Liu
AICAttack: Adversarial Image Captioning Attack with Attention-Based Optimization. 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)
Yuexin Xiang, Tiantian Li, Wei Ren, Jie He, Tianqing Zhu, Kim-Kwang Raymond Choo
AdvEWM: Generating image adversarial examples by embedding digital watermarks. J. Inf. Secur. Appl. 80 (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)
Youyang Qu, Ming Ding, Nan Sun, Kanchana Thilakarathna, Tianqing Zhu, Dusit Niyato
The Frontier of Data Erasure: Machine Unlearning for Large Language Models. CoRR (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)
Baoping Liu, Bo Liu, Ming Ding, Tianqing Zhu
Detection of Diffusion Model-Generated Faces by Assessing Smoothness and Noise Tolerance. BMSB (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)
Hengzhu Liu, Ping Xiong, Tianqing Zhu, Philip S. Yu
A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks. CoRR (2024)
Xiaobiao Du, Haiyang Sun, Shuyun Wang, Zhuojie Wu, Hongwei Sheng, Jiaying Ying, Ming Lu, Tianqing Zhu, Kun Zhan, Xin Yu
3DRealCar: An In-the-wild RGB-D Car Dataset with 360-degree Views. CoRR (2024)
Heng Xu, Tianqing Zhu, Lefeng Zhang, Wanlei Zhou, Philip S. Yu
Machine Unlearning: A Survey. ACM Comput. Surv. 56 (1) (2024)
Xiaobiao Du, Haiyang Sun, Ming Lu, Tianqing Zhu, Xin Yu
DreamCar: Leveraging Car-specific Prior for in-the-wild 3D Car Reconstruction. CoRR (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)
Liang Xue, Tianqing Zhu
Hybrid resampling and weighted majority voting for multi-class anomaly detection on imbalanced malware and network traffic data. Eng. Appl. Artif. Intell. 128 (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)
Wenhan Chang, Tianqing Zhu
Gradient-based defense methods for data leakage in vertical federated learning. Comput. Secur. 139 (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)
Mengmeng Yang, Taolin Guo, Tianqing Zhu, Ivan Tjuawinata, Jun Zhao, Kwok-Yan Lam
Local differential privacy and its applications: A comprehensive survey. Comput. Stand. Interfaces 89 (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)
Ding Bao, Wei Ren, Yuexin Xiang, Weimao Liu, Tianqing Zhu, Yi Ren, Kim-Kwang Raymond Choo
BTC-Shadow: an analysis and visualization system for exposing implicit behaviors in Bitcoin transaction graphs. Frontiers Comput. Sci. 17 (6) (2023)
Hanyu Xue, Bo Liu, Xin Yuan, Ming Ding, Tianqing Zhu
Face image de-identification by feature space adversarial perturbation. Concurr. Comput. Pract. Exp. 35 (5) (2023)
Xiaohan Hao, Wei Ren, Yangyang Fei, Tianqing Zhu, Kim-Kwang Raymond Choo
A Blockchain-Based Cross-Domain and Autonomous Access Control Scheme for Internet of Things. IEEE Trans. Serv. Comput. 16 (2) (2023)
Zhiqiu Zhang, Tianqing Zhu, Wei Ren, Ping Xiong, Kim-Kwang Raymond Choo
Preserving data privacy in federated learning through large gradient pruning. Comput. Secur. 125 (2023)
Wen Huang, Ming Zhuo, Tianqing Zhu, Shijie Zhou, Yongjian Liao
Differential privacy: Review of improving utility through cryptography-based technologies. Concurr. Comput. Pract. Exp. 35 (5) (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)
Jie Li, Tianqing Zhu, Wei Ren, Kim-Kwang Raymond Choo
Improve individual fairness in federated learning via adversarial training. Comput. Secur. 132 (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)
Mengmeng Yang, Ivan Tjuawinata, Kwok-Yan Lam, Tianqing Zhu, Jun Zhao
Differentially Private Distributed Frequency Estimation. IEEE Trans. Dependable Secur. Comput. 20 (5) (2023)
Tingting Liao, Zhen Lei, Tianqing Zhu, Shan Zeng, Yaqin Li, Cao Yuan
Deep Metric Learning for K Nearest Neighbor Classification. IEEE Trans. Knowl. Data Eng. 35 (1) (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)
Xiaoya Wang, Tianqing Zhu, Wei Ren, Dongmei Zhang, Ping Xiong
Migrating federated learning to centralized learning with the leverage of unlabeled data. Knowl. Inf. Syst. 65 (9) (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)
Baoping Liu, Bo Liu, Ming Ding, Tianqing Zhu, Xin Yu
Net: Temporal Identity Inconsistency Network for Deepfake Detection. WACV (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)
Yuan Zhao, Bo Liu, Ming Ding, Baoping Liu, Tianqing Zhu, Xin Yu
Proactive Deepfake Defence via Identity Watermarking. WACV (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)
Kai Wang, Jinxia Wu, Tianqing Zhu, Wei Ren, Ying Hong
Defense against membership inference attack in graph neural networks through graph perturbation. Int. J. Inf. Sec. 22 (2) (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)
Yizhi Liu, Xiaohan Hao, Wei Ren, Ruoting Xiong, Tianqing Zhu, Kim-Kwang Raymond Choo, Geyong Min
A Blockchain-Based Decentralized, Fair and Authenticated Information Sharing Scheme in Zero Trust Internet-of-Things. IEEE Trans. Computers 72 (2) (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)
Mengmeng Yang, Kwok-Yan Lam, Tianqing Zhu, Chenghua Tang
SPoFC: A framework for stream data aggregation with local differential privacy. Concurr. Comput. Pract. Exp. 35 (5) (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)
Yuexin Xiang, Tiantian Li, Wei Ren, Tianqing Zhu, Kim-Kwang Raymond Choo
A lightweight privacy-preserving scheme using pixel block mixing for facial image classification in deep learning. Eng. Appl. Artif. Intell. 126 (Part D) (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)
Hu Zhang, Xin Shen, Heming Du, Huiqiang Chen, Chen Liu, Hongwei Sheng, Qingzheng Xu, Wahiduzzaman Khan, Qingtao Yu, Tianqing Zhu, Scott Chapman, Zi Huang, Xin Yu
Divide and Ensemble: Progressively Learning for the Unknown. CoRR (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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tianqing Zhu