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2402.03688
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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
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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
Pedro Valdeira
Shiqiang Wang
Yuejie Chi
FedML
30
1
0
29 Oct 2024
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
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
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
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
A. Mitra
Rayana H. Jaafar
George J. Pappas
Hamed Hassani
FedML
55
157
0
14 Feb 2021
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
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