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MPC-enabled Privacy-Preserving Neural Network Training against Malicious
  Attack
v1v2v3 (latest)

MPC-enabled Privacy-Preserving Neural Network Training against Malicious Attack

24 July 2020
Ziyao Liu
Ivan Tjuawinata
C. Xing
K. Lam
ArXiv (abs)PDFHTML

Papers citing "MPC-enabled Privacy-Preserving Neural Network Training against Malicious Attack"

5 / 5 papers shown
Title
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey
Jing Liu
Yao Du
Kun Yang
Yan Wang
Xiping Hu
Zehua Wang
Yang Liu
Peng Sun
Azzedine Boukerche
Victor C.M. Leung
86
0
0
03 May 2025
Ents: An Efficient Three-party Training Framework for Decision Trees by
  Communication Optimization
Ents: An Efficient Three-party Training Framework for Decision Trees by Communication Optimization
Guopeng Lin
Weili Han
Wenqiang Ruan
Ruisheng Zhou
Lushan Song
Bingshuai Li
Yunfeng Shao
73
2
0
12 Jun 2024
Privacy-Preserving Federated Unlearning with Certified Client Removal
Privacy-Preserving Federated Unlearning with Certified Client Removal
Ziyao Liu
Huanyi Ye
Yu Jiang
Jiyuan Shen
Jiale Guo
Ivan Tjuawinata
Kwok-Yan Lam
MU
74
5
0
15 Apr 2024
Threats, Attacks, and Defenses in Machine Unlearning: A Survey
Threats, Attacks, and Defenses in Machine Unlearning: A Survey
Ziyao Liu
Huanyi Ye
Chen Chen
Yongsen Zheng
K. Lam
AAMLMU
115
32
0
20 Mar 2024
Efficient Dropout-resilient Aggregation for Privacy-preserving Machine
  Learning
Efficient Dropout-resilient Aggregation for Privacy-preserving Machine Learning
Ziyao Liu
Jiale Guo
Kwok-Yan Lam
Jun Zhao
67
82
0
31 Mar 2022
1