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Wei Du
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引用次数
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年份
Fairness-aware agnostic federated learning
W Du, D Xu, X Wu, H Tong
Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021
1272021
Removing disparate impact on model accuracy in differentially private stochastic gradient descent
D Xu, W Du, X Wu
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
60*2021
Fair and robust classification under sample selection bias
W Du, X Wu
Proceedings of the 30th ACM International Conference on Information …, 2021
36*2021
Poisoning attacks on fair machine learning
MH Van, W Du, X Wu, A Lu
International Conference on Database Systems for Advanced Applications, 370-386, 2022
252022
Privacy-preserving multiparty learning for logistic regression
W Du, A Li, Q Li
International Conference on Security and Privacy in Communication Systems …, 2018
202018
Approximate to be great: Communication efficient and privacy-preserving large-scale distributed deep learning in Internet of Things
W Du, A Li, P Zhou, Z Xu, X Wang, H Jiang, D Wu
IEEE internet of things Journal 7 (12), 11678-11692, 2020
172020
Efficient federated learning via variational dropout
W Du, X Zeng, M Yan, M Zhang
132018
Efficient privacy-preserving outsourcing of large-scale convex separable programming for smart cities
W Liao, W Du, S Salinas, P Li
2016 IEEE 18th International Conference on High Performance Computing and …, 2016
122016
Privacyeye: A privacy-preserving and computationally efficient deep learning-based mobile video analytics system
W Du, A Li, P Zhou, B Niu, D Wu
IEEE Transactions on Mobile Computing 21 (9), 3263-3279, 2021
112021
Massive maritime path planning: A contextual online learning approach
P Zhou, W Zhao, J Li, A Li, W Du, S Wen
IEEE Transactions on Cybernetics 51 (12), 6262-6273, 2020
82020
Fair regression under sample selection bias
W Du, X Wu, H Tong
2022 IEEE International Conference on Big Data (Big Data), 1435-1444, 2022
52022
Politecamera: Respecting strangers’ privacy in mobile photographing
A Li, W Du, Q Li
Security and Privacy in Communication Networks: 14th International …, 2018
52018
Privacy-preserving outsourcing of large-scale nonlinear programming to the cloud
A Li, W Du, Q Li
Security and Privacy in Communication Networks: 14th International …, 2018
52018
Robust personalized federated learning under demographic fairness heterogeneity
AN Carey, W Du, X Wu
2022 IEEE International Conference on Big Data (Big Data), 1425-1434, 2022
42022
Advpl: Adversarial personalized learning
W Du, X Wu
2020 IEEE 7th International Conference on Data Science and Advanced …, 2020
42020
Secure and efficient outsourcing of large-scale nonlinear programming
W Du, Q Li
2017 IEEE Conference on Communications and Network Security (CNS), 1-9, 2017
42017
A framework to preserve user privacy for machine learning as a service
B Niu, L Zhang, Y Chen, A Li, W Du, J Cao, F Li
GLOBECOM 2020-2020 IEEE Global Communications Conference, 1-6, 2020
32020
Privacy-preserving and secure cloud computing: A case of large-scale nonlinear programming
W Du, A Li, Q Li, P Zhou
IEEE Transactions on Cloud Computing 11 (1), 484-498, 2021
22021
Compressing cross-lingual multi-task models at qualtrics
D Campos, D Perry, S Joshi, Y Gambhir, W Du, Z Xing, A Colak
Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 15661 …, 2023
12023
Defending evasion attacks via adversarially adaptive training
MH Van, W Du, X Wu, F Chen, A Lu
2022 IEEE International Conference on Big Data (Big Data), 1515-1524, 2022
12022
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