Ye Dong

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 19

Top Topics

Privacy Preserving Classification

Set Intersection

Top Venues

IACR Cryptol. ePrint Arch.

Publications

Ye Dong, Wen-jie Lu, Yancheng Zheng, Haoqi Wu, Derun Zhao, Jin Tan, Zhicong Huang, Cheng Hong, Tao Wei, Wenguang Chen
PUMA: Secure Inference of LLaMA-7B in Five Minutes. CoRR (2023)
Yuexin Xuan, Xiaojun Chen, Zhendong Zhao, Bisheng Tang, Ye Dong
Practical and General Backdoor Attacks against Vertical Federated Learning. CoRR (2023)
Ye Dong, Xiaojun Chen, Weizhan Jing, Kaiyun Li, Weiping Wang
Meteor: Improved Secure 3-Party Neural Network Inference with Reducing Online Communication Costs. WWW (2023)
Qifan Wang, Shujie Cui, Lei Zhou, Ye Dong, Jianli Bai, Yun Sing Koh, Giovanni Russello
GTree: GPU-Friendly Privacy-preserving Decision Tree Training and Inference. CoRR (2023)
Ye Dong, Xiaojun Chen, Xiangfu Song, Kaiyun Li
FlexBNN: Fast Private Binary Neural Network Inference With Flexible Bit-Width. IEEE Trans. Inf. Forensics Secur. 18 (2023)
Yuexin Xuan, Xiaojun Chen, Zhendong Zhao, Bisheng Tang, Ye Dong
Practical and General Backdoor Attacks Against Vertical Federated Learning. ECML/PKDD (2) (2023)
Ye Dong, Xiaojun Chen, Weizhan Jing, Kaiyun Li, Weiping Wang
Meteor: Improved Secure 3-Party Neural Network Inference with Reducing Online Communication Costs. IACR Cryptol. ePrint Arch. 2023 (2023)
Zhendong Zhao, Xiaojun Chen, Yuexin Xuan, Ye Dong, Dakui Wang, Kaitai Liang
DEFEAT: Deep Hidden Feature Backdoor Attacks by Imperceptible Perturbation and Latent Representation Constraints. CVPR (2022)
Yiran Liu, Ye Dong, Hao Wang, Han Jiang, Qiuliang Xu
Distributed Fog Computing and Federated-Learning-Enabled Secure Aggregation for IoT Devices. IEEE Internet Things J. 9 (21) (2022)
Liyan Shen, Ye Dong, Binxing Fang, Jinqiao Shi, Xuebin Wang, Shengli Pan, Ruisheng Shi
: secure two-party arbitrary-bitwidth quantized neural network predictions. DAC (2022)
Ye Dong, Xiaojun Chen, Kaiyun Li, Dakui Wang, Shuai Zeng
FLOD: Oblivious Defender for Private Byzantine-Robust Federated Learning with Dishonest-Majority. ESORICS (1) (2021)
Ye Dong, Xiaojun Chen, Kaiyun Li, Dakui Wang, Shuai Zeng
FLOD: Oblivious Defender for Private Byzantine-Robust Federated Learning with Dishonest-Majority. IACR Cryptol. ePrint Arch. 2021 (2021)
Kaiyun Li, Xiaojun Chen, Ye Dong, Peng Zhang, Dakui Wang, Shuai Zeng
Efficient Byzantine-Resilient Stochastic Gradient Desce. CoRR (2021)
Liyan Shen, Xiaojun Chen, Jinqiao Shi, Ye Dong, Binxing Fang
An Efficient 3-Party Framework for Privacy-Preserving Neural Network Inference. ESORICS (1) (2020)
Ye Dong, Li You, Xiao Bing, Li Wene
Robust finite-time adaptive control algorithm for satellite fast attitude maneuver. J. Frankl. Inst. 357 (16) (2020)
Ye Dong, Xiaojun Chen, Liyan Shen, Dakui Wang
EaSTFLy: Efficient and secure ternary federated learning. Comput. Secur. 94 (2020)
Ye Dong, Xiaojun Chen, Liyan Shen, Dakui Wang
Privacy-Preserving Distributed Machine Learning Based on Secret Sharing. ICICS (2019)
Ye Dong, Xiaojun Chen, Liyan Shen
Privacy-Preserving Distributed Machine Learning based on Secret Sharing. IACR Cryptol. ePrint Arch. 2019 (2019)
Liyan Shen, Xiaojun Chen, Dakui Wang, Binxing Fang, Ye Dong
Efficient and Private Set Intersection of Human Genomes. BIBM (2018)
Jun Chen, Ye Dong, Wenyuan Yang
Three-Dimensional Parallel Electromagnetic Code with Complex Geometry. HPCC (2008)