Ye Dong

According to our database, Ye Dong authored at least 17 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

FlexBNN: Fast Private Binary Neural Network Inference With Flexible Bit-Width.

Ye Dong, Xiaojun Chen, Xiangfu Song, Kaiyun Li

IEEE Trans. Inf. Forensics Secur., 2023

Meteor: Improved Secure 3-Party Neural Network Inference with Reducing Online Communication Costs.

Ye Dong, Xiaojun Chen, Weizhan Jing, Kaiyun Li, Weiping Wang

IACR Cryptol. ePrint Arch., 2023

PUMA: Secure Inference of LLaMA-7B in Five Minutes.

Ye Dong, Wen-jie Lu, Yancheng Zheng, Haoqi Wu, Derun Zhao, Jin Tan, Zhicong Huang, Cheng Hong, Tao Wei, Wenguang Chen

CoRR, 2023

GTree: GPU-Friendly Privacy-preserving Decision Tree Training and Inference.

Qifan Wang, Shujie Cui, Lei Zhou, Ye Dong, Jianli Bai, Yun Sing Koh, Giovanni Russello

CoRR, 2023

Practical and General Backdoor Attacks Against Vertical Federated Learning.

Yuexin Xuan, Xiaojun Chen, Zhendong Zhao, Bisheng Tang, Ye Dong

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

2022

Distributed Fog Computing and Federated-Learning-Enabled Secure Aggregation for IoT Devices.

Yiran Liu, Ye Dong, Hao Wang, Han Jiang, Qiuliang Xu

IEEE Internet Things J., 2022

ABNN²: secure two-party arbitrary-bitwidth quantized neural network predictions.

Liyan Shen, Ye Dong, Binxing Fang, Jinqiao Shi, Xuebin Wang, Shengli Pan, Ruisheng Shi

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

DEFEAT: Deep Hidden Feature Backdoor Attacks by Imperceptible Perturbation and Latent Representation Constraints.

Zhendong Zhao, Xiaojun Chen, Yuexin Xuan, Ye Dong, Dakui Wang, Kaitai Liang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

FLOD: Oblivious Defender for Private Byzantine-Robust Federated Learning with Dishonest-Majority.

Ye Dong, Xiaojun Chen, Kaiyun Li, Dakui Wang, Shuai Zeng

IACR Cryptol. ePrint Arch., 2021

Efficient Byzantine-Resilient Stochastic Gradient Desce.

Kaiyun Li, Xiaojun Chen, Ye Dong, Peng Zhang, Dakui Wang, Shuai Zeng

CoRR, 2021

2020

Robust finite-time adaptive control algorithm for satellite fast attitude maneuver.

Ye Dong, Li You, Xiao Bing, Li Wene

J. Frankl. Inst., 2020

EaSTFLy: Efficient and secure ternary federated learning.

Ye Dong, Xiaojun Chen, Liyan Shen, Dakui Wang

Comput. Secur., 2020

An Efficient 3-Party Framework for Privacy-Preserving Neural Network Inference.

Liyan Shen, Xiaojun Chen, Jinqiao Shi, Ye Dong, Binxing Fang

Proceedings of the Computer Security - ESORICS 2020, 2020

2019

Privacy-Preserving Distributed Machine Learning based on Secret Sharing.

Ye Dong, Xiaojun Chen, Liyan Shen

IACR Cryptol. ePrint Arch., 2019

Privacy-Preserving Distributed Machine Learning Based on Secret Sharing.

Ye Dong, Xiaojun Chen, Liyan Shen, Dakui Wang

Proceedings of the Information and Communications Security - 21st International Conference, 2019

2018

Efficient and Private Set Intersection of Human Genomes.

Liyan Shen, Xiaojun Chen, Dakui Wang, Binxing Fang, Ye Dong

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2008

Three-Dimensional Parallel Electromagnetic Code with Complex Geometry.

Jun Chen, Ye Dong, Wenyuan Yang

Proceedings of the 10th IEEE International Conference on High Performance Computing and Communications, 2008