Tao Zhang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 23

Top Topics

Differential Privacy

Number Of Labeled Examples

Supervised Learning

Top Venues

Mob. Inf. Syst.

Publications

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)
Tao Zhang, Chenwei Zhang, Xian Li, Jingbo Shang, Hoang Nguyen, Philip S. Yu
Stronger, Lighter, Better: Towards Life-Long Attribute Value Extraction for E-Commerce Products. ACL (Findings) (2024)
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)
Tao Zhang, Tianqing Zhu, Jing Li, Wanlei Zhou, Philip S. Yu
Revisiting model fairness via adversarial examples. Knowl. Based Syst. 277 (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)
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)
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)
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)
Tao Zhang, Tianqing Zhu, Renping Liu, Wanlei Zhou
Correlated data in differential privacy: Definition and analysis. Concurr. Comput. Pract. Exp. 34 (16) (2022)
Xiuting Gu, Tianqing Zhu, Jie Li, Tao Zhang, Wei Ren, Kim-Kwang Raymond Choo
Privacy, accuracy, and model fairness trade-offs in federated learning. Comput. Secur. 122 (2022)
Xin Chen, Tao Zhang, Sheng Shen, Tianqing Zhu, Ping Xiong
An optimized differential privacy scheme with reinforcement learning in VANET. Comput. Secur. 110 (2021)
Xiuting Gu, Tianqing Zhu, Jie Li, Tao Zhang, Wei Ren
The Impact of Differential Privacy on Model Fairness in Federated Learning. NSS (2020)
Tao Zhang, Tianqing Zhu, Ping Xiong, Huan Huo, Zahir Tari, Wanlei Zhou
Correlated Differential Privacy: Feature Selection in Machine Learning. IEEE Trans. Ind. Informatics 16 (3) (2020)
Minghao Wang, Tianqing Zhu, Tao Zhang, Jun Zhang, Shui Yu, Wanlei Zhou
Security and privacy in 6G networks: New areas and new challenges. Digit. Commun. Networks 6 (3) (2020)
Tao Zhang, Tianqing Zhu, Renping Liu, Wanlei Zhou
Correlated Data in Differential Privacy: Definition and Analysis. CoRR (2020)
Tao Zhang, Tianqing Zhu, Mengde Han, Jing Li, Wanlei Zhou, Philip S. Yu
Fairness Constraints in Semi-supervised Learning. CoRR (2020)
Tao Zhang, Tianqing Zhu, Jing Li, Mengde Han, Wanlei Zhou, Philip S. Yu
Fairness in Semi-supervised Learning: Unlabeled Data Help to Reduce Discrimination. CoRR (2020)
Tao Zhang, Tianqing Zhu, Ping Xiong, Huan Huo, Zahir Tari, Wanlei Zhou
Correlated Differential Privacy: Feature Selection in Machine Learning. CoRR (2020)
Tao Zhang, Lin Xiao, Dingcheng Yang, Laurie G. Cuthbert
Optimal Pricing for MDS-Coded Caching in Wireless D2D Networks. Mob. Inf. Syst. 2018 (2018)
Lin Xiao, Tao Zhang, Xue Shen, Dingcheng Yang, Laurie G. Cuthbert
Secrecy in Wireless Information and Power Transfer for One-Way and Two-Way Untrusted Relaying with Friendly Jamming. Mob. Inf. Syst. 2017 (2017)
Haole Chen, Lin Xiao, Dingcheng Yang, Tao Zhang, Laurie G. Cuthbert
User Cooperation in Wireless Powered Communication Networks With a Pricing Mechanism. IEEE Access 5 (2017)
Haole Chen, Lin Xiao, Tao Zhang, Laurie G. Cuthbert
Optimal pricing with wireless powered communication network for energy saving. ICCS (2016)
Tao Zhang, Lin Xiao, Haole Chen, Laurie G. Cuthbert
Caching cooperation with energy harvesting based small cells in heterogeneous networks. ICCS (2016)