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Lin Liu (柳林)
Lin Liu (柳林)
在 nudt.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
Towards practical privacy-preserving decision tree training and evaluation in the cloud
L Liu, R Chen, X Liu, J Su, L Qiao
IEEE Transactions on Information Forensics and Security 15, 2914-2929, 2020
622020
Toward highly secure yet efficient KNN classification scheme on outsourced cloud data
L Liu, J Su, X Liu, R Chen, K Huang, RH Deng, X Wang
IEEE Internet of Things Journal 6 (6), 9841-9852, 2019
572019
Privacy-preserving mining of association rule on outsourced cloud data from multiple parties
L Liu, J Su, R Chen, X Liu, X Wang, S Chen, H Leung
Information Security and Privacy: 23rd Australasian Conference, ACISP 2018 …, 2018
242018
Rectifying pseudo labels: Iterative feature clustering for graph representation learning
Z Hu, G Kou, H Zhang, N Li, K Yang, L Liu
Proceedings of the 30th ACM international conference on information …, 2021
192021
SecRec: A privacy-preserving method for the context-aware recommendation system
J Chen, L Liu, R Chen, W Peng, X Huang
IEEE Transactions on Dependable and Secure Computing 19 (5), 3168-3182, 2021
162021
Bfcri: A blockchain-based framework for crowdsourcing with reputation and incentive
S Fu, XL Huang, L Liu, Y Luo
IEEE Transactions on Cloud Computing 11 (2), 2158-2174, 2022
112022
Privacy-preserving swarm learning based on homomorphic encryption
L Chen, S Fu, L Lin, Y Luo, W Zhao
International Conference on Algorithms and Architectures for Parallel …, 2021
102021
Towards an efficient privacy-preserving decision tree evaluation service in the Internet of Things
L Liu, J Su, B Zhao, Q Wang, J Chen, Y Luo
Symmetry 12 (1), 103, 2020
92020
SHOSVD: Secure outsourcing of high-order singular value decomposition
J Chen, L Liu, R Chen, W Peng
Information Security and Privacy: 25th Australasian Conference, ACISP 2020 …, 2020
92020
Secure and fast decision tree evaluation on outsourced cloud data
L Liu, J Su, R Chen, J Chen, G Sun, J Li
Machine Learning for Cyber Security: Second International Conference, ML4CS …, 2019
92019
Randomization is all you need: A privacy-preserving federated learning framework for news recommendation
X Huang, Y Luo, L Liu, W Zhao, S Fu
Information Sciences 637, 118943, 2023
62023
pCOVID: A Privacy-Preserving COVID-19 Inference Framework
Y Wang, Y Luo, L Liu, S Fu
International Conference on Algorithms and Architectures for Parallel …, 2022
32022
Multi-patch adversarial attack for remote sensing image classification
Z Wang, JJ Huang, T Liu, Z Chen, W Zhao, X Liu, Y Pan, L Liu
Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint …, 2023
22023
Privacy-preserving federated learning with hierarchical clustering to improve training on non-iid data
S Luo, S Fu, Y Luo, L Liu, Y Deng, S Wang
International Conference on Network and System Security, 195-216, 2023
22023
BVDFed: Byzantine-resilient and verifiable aggregation for differentially private federated learning
X Gao, S Fu, L Liu, Y Luo
Frontiers of Computer Science 18 (5), 185810, 2024
12024
Towards Strong Privacy Protection for Association Rule Mining and Query in the Cloud
L Liu, J Su, X Liu, R Chen, X Huang, G Kou, S Fu
IEEE Transactions on Cloud Computing 11 (3), 3211-3225, 2023
12023
Substitution Attacks Against Sigma Protocols
Y Lin, R Chen, Y Wang, B Wang, L Liu
International Symposium on Cyberspace Safety and Security, 192-208, 2022
12022
SecDM: A Secure and Lossless Human Mobility Prediction System
L Liu, S Fu, X Huang, Y Luo, X Zhang, KKR Choo
IEEE Transactions on Services Computing, 2024
2024
SecGAN: Honest-Majority Maliciously 3PC Framework for Privacy-Preserving Image Synthesis
Y Yang, L Liu, S Fu, JJ Huang, Y Luo
2023 IEEE 22nd International Conference on Trust, Security and Privacy in …, 2023
2023
EzBoost: Fast And Secure Vertical Federated Tree Boosting Framework via EzPC
X Gao, S Fu, L Liu, Y Luo, L Yang
2023 IEEE 22nd International Conference on Trust, Security and Privacy in …, 2023
2023
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