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FedPass: Privacy-Preserving Vertical Federated Deep Learning with
  Adaptive Obfuscation

FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation

30 January 2023
Hanlin Gu
Jiahuan Luo
Yan Kang
Lixin Fan
Qiang Yang
    FedML
ArXivPDFHTML

Papers citing "FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation"

11 / 11 papers shown
Title
Graph Privacy: A Heterogeneous Federated GNN for Trans-Border Financial Data Circulation
Graph Privacy: A Heterogeneous Federated GNN for Trans-Border Financial Data Circulation
Zhizhong Tan
Jiexin Zheng
Kevin Qi Zhang
Wenyong Wang
FedML
44
0
0
01 May 2025
A few-shot Label Unlearning in Vertical Federated Learning
A few-shot Label Unlearning in Vertical Federated Learning
Hanlin Gu
Hong Xi Tae
Chee Seng Chan
Lixin Fan
MU
FedML
22
1
0
14 Oct 2024
LabObf: A Label Protection Scheme for Vertical Federated Learning
  Through Label Obfuscation
LabObf: A Label Protection Scheme for Vertical Federated Learning Through Label Obfuscation
Ying He
Mingyang Niu
Jingyu Hua
Yunlong Mao
Xu Huang
Chen Li
Sheng Zhong
FedML
29
0
0
27 May 2024
Vertical Federated Learning for Effectiveness, Security, Applicability:
  A Survey
Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey
Mang Ye
Wei Shen
Bo Du
E. Snezhko
Vassili Kovalev
PongChi Yuen
FedML
70
3
0
25 May 2024
FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning
FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning
Gongxi Zhu
Donghao Li
Hanlin Gu
Yuxing Han
Yuan Yao
Lixin Fan
20
2
0
09 Feb 2024
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
Lei Yu
Meng Han
Yiming Li
Changting Lin
Yao Zhang
...
Yan Liu
Haiqin Weng
Yuseok Jeon
Ka-Ho Chow
Stacy Patterson
FedML
50
9
0
06 Feb 2024
Grounding Foundation Models through Federated Transfer Learning: A
  General Framework
Grounding Foundation Models through Federated Transfer Learning: A General Framework
Yan Kang
Tao Fan
Hanlin Gu
Xiaojin Zhang
Lixin Fan
Qiang Yang
AI4CE
59
19
0
29 Nov 2023
Temporal Gradient Inversion Attacks with Robust Optimization
Temporal Gradient Inversion Attacks with Robust Optimization
Bowen Li Jie Li
Hanlin Gu
Ruoxin Chen
Jie Li
Chentao Wu
Na Ruan
Xueming Si
Lixin Fan
AAML
23
2
0
13 Jun 2023
Vertical Federated Learning: Concepts, Advances and Challenges
Vertical Federated Learning: Concepts, Advances and Challenges
Yang Liu
Yan Kang
Tianyuan Zou
Yanhong Pu
Yuanqin He
Xiaozhou Ye
Ye Ouyang
Yaqin Zhang
Qian Yang
FedML
22
158
0
23 Nov 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
FedCVT: Semi-supervised Vertical Federated Learning with Cross-view
  Training
FedCVT: Semi-supervised Vertical Federated Learning with Cross-view Training
Yan Kang
Yang Liu
Xinle Liang
FedML
60
50
0
25 Aug 2020
1