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A Survey of Privacy Threats and Defense in Vertical Federated Learning:
  From Model Life Cycle Perspective

A Survey of Privacy Threats and Defense in Vertical Federated Learning: From Model Life Cycle Perspective

6 February 2024
Lei Yu
Meng Han
Yiming Li
Changting Lin
Yao Zhang
Mingyang Zhang
Yan Liu
Haiqin Weng
Yuseok Jeon
Ka-Ho Chow
Stacy Patterson
    FedML
ArXivPDFHTML

Papers citing "A Survey of Privacy Threats and Defense in Vertical Federated Learning: From Model Life Cycle Perspective"

8 / 8 papers shown
Title
Vertical Federated Learning with Missing Features During Training and Inference
Vertical Federated Learning with Missing Features During Training and Inference
Pedro Valdeira
Shiqiang Wang
Yuejie Chi
FedML
30
1
0
29 Oct 2024
Model Extraction Attacks on Split Federated Learning
Model Extraction Attacks on Split Federated Learning
Jingtao Li
Adnan Siraj Rakin
Xing Chen
Li Yang
Zhezhi He
Deliang Fan
C. Chakrabarti
FedML
50
5
0
13 Mar 2023
Client-specific Property Inference against Secure Aggregation in
  Federated Learning
Client-specific Property Inference against Secure Aggregation in Federated Learning
Raouf Kerkouche
G. Ács
Mario Fritz
FedML
49
9
0
07 Mar 2023
OpBoost: A Vertical Federated Tree Boosting Framework Based on
  Order-Preserving Desensitization
OpBoost: A Vertical Federated Tree Boosting Framework Based on Order-Preserving Desensitization
Xiaochen Li
Yuke Hu
Weiran Liu
Hanwen Feng
Li Peng
Yuan Hong
Kui Ren
Zhan Qin
FedML
121
26
0
04 Oct 2022
Label Leakage and Protection in Two-party Split Learning
Label Leakage and Protection in Two-party Split Learning
Oscar Li
Jiankai Sun
Xin Yang
Weihao Gao
Hongyi Zhang
Junyuan Xie
Virginia Smith
Chong-Jun Wang
FedML
122
135
0
17 Feb 2021
Linear Convergence in Federated Learning: Tackling Client Heterogeneity
  and Sparse Gradients
Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients
A. Mitra
Rayana H. Jaafar
George J. Pappas
Hamed Hassani
FedML
55
157
0
14 Feb 2021
Threats to Federated Learning: A Survey
Threats to Federated Learning: A Survey
Lingjuan Lyu
Han Yu
Qiang Yang
FedML
186
427
0
04 Mar 2020
Mechanism Design in Large Games: Incentives and Privacy
Michael Kearns
Mallesh M. Pai
Aaron Roth
Jonathan R. Ullman
77
181
0
17 Jul 2012
1