Volgen
Guowen Xu
Guowen Xu
City University of Hong Kong & University of Electronic Science and Technology of China
Geverifieerd e-mailadres voor cityu.edu.hk
Titel
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VerifyNet: Secure and verifiable federated learning
G Xu, H Li, S Liu, K Yang, X Lin
IEEE Transactions on Information Forensics and Security 15, 911-926, 2020
5772020
Efficient and privacy-enhanced federated learning for industrial artificial intelligence
M Hao, H Li, X Luo, G Xu, H Yang, S Liu
IEEE Transactions on Industrial Informatics 16 (10), 6532-6542, 2019
4742019
Enabling efficient and geometric range query with access control over encrypted spatial data
G Xu, H Li, Y Dai, K Yang, X Lin
IEEE Transactions on Information Forensics and Security 14 (4), 870-885, 2018
1922018
Towards efficient and privacy-preserving federated deep learning
M Hao, H Li, G Xu, S Liu, H Yang
ICC 2019-2019 IEEE international conference on communications (ICC), 1-6, 2019
1802019
Privacy-Enhanced Federated Learning against Poisoning Adversaries
X Liu, H Li, G Xu, Z Chen, X Huang, R Lu
IEEE Transactions on Information Forensics and Security, 2021
1622021
Efficient and privacy-preserving truth discovery in mobile crowd sensing systems
G Xu, H Li, S Liu, M Wen, R Lu
IEEE Transactions on Vehicular Technology 68 (4), 3854-3865, 2019
1282019
Privacy-preserving Federated Deep Learning with Irregular Users
G Xu, H Li, Y Zhang, S Xu, J Ning, R Deng
IEEE Transactions on Dependable and Secure Computing, 2020
1162020
PTAS: Privacy-preserving thin-client authentication scheme in blockchain-based PKI
W Jiang, H Li, G Xu, M Wen, G Dong, X Lin
Future Generation Computer Systems 96, 185-195, 2019
1112019
Data security issues in deep learning: Attacks, countermeasures, and opportunities
G Xu, H Li, H Ren, K Yang, RH Deng
IEEE Communications Magazine 57 (11), 116-122, 2019
1012019
Match in my way: Fine-grained bilateral access control for secure cloud-fog computing
S Xu, J Ning, Y Li, Y Zhang, G Xu, X Huang, RH Deng
IEEE Transactions on Dependable and Secure Computing 19 (2), 1064-1077, 2020
842020
Achieving efficient and privacy-preserving truth discovery in crowd sensing systems
G Xu, H Li, C Tan, D Liu, Y Dai, K Yang
Computers & Security 69, 114-126, 2017
782017
Adaptive privacy-preserving federated learning
X Liu, H Li, G Xu, R Lu, M He
Peer-to-Peer Networking and Applications, 2020
532020
Iron: Private inference on transformers
M Hao, H Li, H Chen, P Xing, G Xu, T Zhang
Advances in neural information processing systems 35, 15718-15731, 2022
462022
Towards Secure and Privacy-Preserving Distributed Deep Learning in Fog-Cloud Computing
Y Li, H Li, G Xu, T Xiang, X Huang, R Lu
IEEE Internet of Things Journal, 2020
452020
Privacy-aware and resource-saving collaborative learning for healthcare in cloud computing
M Hao, H Li, G Xu, Z Liu, Z Chen
ICC 2020-2020 IEEE International Conference on Communications (ICC), 1-6, 2020
432020
Efficient, Private and Robust Federated Learning
M Hao, H Li, G Xu, H Chen, T Zhang
Annual Computer Security Applications Conference (ACSAC), 45-60, 2021
382021
Privacy-preserving efficient verifiable deep packet inspection for cloud-assisted middlebox
H Ren, H Li, D Liu, G Xu, N Cheng, X Shen
IEEE Transactions on Cloud Computing 10 (2), 1052-1064, 2020
372020
Achieving privacy-preserving federated learning with irrelevant updates over e-health applications
H Chen, H Li, G Xu, Y Zhang, X Luo
ICC 2020-2020 IEEE international conference on communications (ICC), 1-6, 2020
342020
PADL: Privacy-aware and asynchronous deep learning for IoT applications
X Liu, H Li, G Xu, S Liu, Z Liu, R Lu
IEEE Internet of Things Journal 7 (8), 6955-6969, 2020
332020
Practical membership inference attack against collaborative inference in industrial IoT
H Chen, H Li, G Dong, M Hao, G Xu, X Huang, Z Liu
IEEE Transactions on Industrial Informatics 18 (1), 477-487, 2020
292020
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Artikelen 1–20