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Ye Dong
Ye Dong
Другие имена董业 (in Chinese)
Research Fellow, National University of Singapore (NUS)
Подтвержден адрес электронной почты в домене nus.edu.sg - Главная страница
Название
Процитировано
Процитировано
Год
Eastfly: Efficient and secure ternary federated learning
Y Dong, X Chen, L Shen, D Wang
Computers & Security 94, 101824, 2020
1062020
Defeat: Deep hidden feature backdoor attacks by imperceptible perturbation and latent representation constraints
Z Zhao, X Chen, Y Xuan, Y Dong, D Wang, K Liang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
872022
FLOD: Oblivious Defender for Private Byzantine-Robust Federated Learning with Dishonest-Majority
Y Dong, X Chen, K Li, D Wang, S Zeng
European Symposium on Research in Computer Security 12972, 497-518, 2021
652021
Puma: Secure inference of llama-7b in five minutes
Y Dong, W Lu, Y Zheng, H Wu, D Zhao, J Tan, Z Huang, C Hong, T Wei, ...
arXiv preprint arXiv:2307.12533, 2023
482023
Privacy-preserving distributed machine learning based on secret sharing
Y Dong, X Chen, L Shen, D Wang
Information and Communications Security: 21st International Conference …, 2020
292020
基于秘密分享和梯度选择的高效安全联邦学习
董业， 侯炜， 陈小军， 曾帅
计算机研究与发展 57 (10), 2241-2250, 2020
23*2020
Efficient and private set intersection of human genomes
L Shen, X Chen, D Wang, B Fang, Y Dong
2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018
222018
Distributed fog computing and federated-learning-enabled secure aggregation for IoT devices
Y Liu, Y Dong, H Wang, H Jiang, Q Xu
IEEE Internet of Things Journal 9 (21), 21025-21037, 2022
212022
ABNN2 secure two-party arbitrary-bitwidth quantized neural network predictions
L Shen, Y Dong, B Fang, J Shi, X Wang, S Pan, R Shi
Proceedings of the 59th ACM/IEEE Design Automation Conference, 361-366, 2022
202022
Meteor: Improved Secure 3-Party Neural Network Inference with Reducing Online Communication Costs
Y Dong, X Chen, W Jing, K Li, W Wang
ACM Web Conference, 2023
162023
An efficient 3-party framework for privacy-preserving neural network inference
L Shen, X Chen, J Shi, Y Dong, B Fang
European Symposium on Research in Computer Security, 419-439, 2020
162020
FLEXBNN: fast private binary neural network inference with flexible bit-width
Y Dong, X Chen, X Song, K Li
IEEE Transactions on Information Forensics and Security 18, 2382-2397, 2023
82023
Practical and general backdoor attacks against vertical federated learning
Y Xuan, X Chen, Z Zhao, B Tang, Y Dong
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023
62023
Roger: A Round Optimized GPU-Friendly Secure Inference Framework
X Chen, X Chen, Y Dong, W Jing, T Fan, Q Zhang
ICC 2024-IEEE International Conference on Communications, 61-66, 2024
12024
Comet: Communication-Efficient Batch Secure Three-Party Neural Network Inference with Client-Aiding
T Fan, X Chen, Y Dong, X Chen, W Jing
ICC 2024-IEEE International Conference on Communications, 752-757, 2024
12024
Generative AI for Internet of Things Security: Challenges and Opportunities
YL Aung, I Christian, Y Dong, X Ye, S Chattopadhyay, J Zhou
arXiv preprint arXiv:2502.08886, 2025
2025
MPCache: MPC-Friendly KV Cache Eviction for Efficient Private Large Language Model Inference
W Zeng, Y Dong, J Zhou, J Ma, J Tan, R Wang, M Li
arXiv preprint arXiv:2501.06807, 2025
2025
ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs
Y Fan, R Zhu, Z Wang, C Wang, H Tang, Y Dong, H Cho, ...
arXiv preprint arXiv:2501.06953, 2025
2025
GTree: GPU-Friendly Privacy-preserving Decision Tree Training and Inference
Q Wang, S Cui, L Zhou, Y Dong, J Bai, YS Koh, G Russello
23rd IEEE International Conference on Trust, Security and Privacy in …, 2024
2024
PODI: A Private Object Detection Inference framework for autonomous vehicles
M Ma, Y Fu, Y Dong, X Liu, K Huang
Knowledge-Based Systems 301, 112267, 2024
2024
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