Tianqing Zhu
Tianqing Zhu
City University of Macau
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Cited by
Cited by
Differentially private data publishing and analysis: A survey
T Zhu, G Li, W Zhou, SY Philip
IEEE Transactions on Knowledge and Data Engineering 29 (8), 1619-1638, 2017
Security and privacy in 6G networks: New areas and new challenges
M Wang, T Zhu, T Zhang, J Zhang, S Yu, W Zhou
Digital Communications and Networks 6 (3), 281-291, 2020
Correlated differential privacy: Hiding information in non-IID data set
T Zhu, P Xiong, G Li, W Zhou
IEEE Transactions on Information Forensics and Security 10 (2), 229-242, 2014
A blockchain-based location privacy-preserving crowdsensing system
M Yang, T Zhu, K Liang, W Zhou, RH Deng
Future Generation Computer Systems 94, 408-418, 2019
熊平, 朱天清, 王晓峰
计算机学报 37 (1), 101-122, 2014
Local differential privacy and its applications: A comprehensive survey
M Yang, T Guo, T Zhu, I Tjuawinata, J Zhao, KY Lam
Computer Standards & Interfaces, 103827, 2023
Location privacy and its applications: A systematic study
B Liu, W Zhou, T Zhu, L Gao, Y Xiang
IEEE access 6, 17606-17624, 2018
More than privacy: Applying differential privacy in key areas of artificial intelligence
T Zhu, D Ye, W Wang, W Zhou, SY Philip
IEEE Transactions on Knowledge and Data Engineering 34 (6), 2824-2843, 2020
Machine Unlearning: A Survey
PSY Heng Xu, Tianqing Zhu, Wanlei Zhou
ACM Computing Surveys 56 (1), 1-36, 2023
Differential privacy and applications
T Zhu, G Li, W Zhou, SY Philip
Springer International Publishing, 2017
An effective privacy preserving algorithm for neighborhood-based collaborative filtering
T Zhu, Y Ren, W Zhou, J Rong, P Xiong
Future Generation Computer Systems 36, 142-155, 2014
Differential privacy for neighborhood-based collaborative filtering
T Zhu, G Li, Y Ren, W Zhou, P Xiong
Proceedings of the 2013 IEEE/ACM international conference on advances in …, 2013
From distributed machine learning to federated learning: In the view of data privacy and security
S Shen, T Zhu, D Wu, W Wang, W Zhou
Concurrency and Computation: Practice and Experience 34 (16), e6002, 2022
Machine learning differential privacy with multifunctional aggregation in a fog computing architecture
M Yang, T Zhu, B Liu, Y Xiang, W Zhou
IEEE Access 6, 17119-17129, 2018
Resource allocation in IoT edge computing via concurrent federated reinforcement learning
Z Tianqing, W Zhou, D Ye, Z Cheng, J Li
IEEE Internet of Things Journal 9 (2), 1414-1426, 2021
BoSMoS: A blockchain-based status monitoring system for defending against unauthorized software updating in industrial Internet of Things
S He, W Ren, T Zhu, KKR Choo
IEEE Internet of Things Journal 7 (2), 948-959, 2019
A blockchain-based decentralized, fair and authenticated information sharing scheme in zero trust internet-of-things
Y Liu, X Hao, W Ren, R Xiong, T Zhu, KKR Choo, G Min
IEEE Transactions on Computers 72 (2), 501-512, 2022
Correlated differential privacy: Feature selection in machine learning
T Zhang, T Zhu, P Xiong, H Huo, Z Tari, W Zhou
IEEE Transactions on Industrial Informatics 16 (3), 2115-2124, 2019
Adversarial attacks and defenses in deep learning: From a perspective of cybersecurity
S Zhou, C Liu, D Ye, T Zhu, W Zhou, PS Yu
ACM Computing Surveys 55 (8), 1-39, 2022
Silence is golden: Enhancing privacy of location-based services by content broadcasting and active caching in wireless vehicular networks
B Liu, W Zhou, T Zhu, L Gao, TH Luan, H Zhou
IEEE transactions on vehicular technology 65 (12), 9942-9953, 2016
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