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Batch Label Inference and Replacement Attacks in Black-Boxed Vertical
  Federated Learning

Batch Label Inference and Replacement Attacks in Black-Boxed Vertical Federated Learning

10 December 2021
Yang Liu
Tianyuan Zou
Yan Kang
Wenhan Liu
Yuanqin He
Zhi-qian Yi
Qian Yang
    FedML
    AAML
ArXivPDFHTML

Papers citing "Batch Label Inference and Replacement Attacks in Black-Boxed Vertical Federated Learning"

17 / 17 papers shown
Title
ICAFS: Inter-Client-Aware Feature Selection for Vertical Federated Learning
ICAFS: Inter-Client-Aware Feature Selection for Vertical Federated Learning
Ruochen Jin
Boning Tong
Shu Yang
Bojian Hou
Li Shen
31
0
0
15 Apr 2025
Vertical Federated Learning in Practice: The Good, the Bad, and the Ugly
Vertical Federated Learning in Practice: The Good, the Bad, and the Ugly
Zhaomin Wu
Zhen Qin
Junyi Hou
Haodong Zhao
Qinbin Li
Bingsheng He
Lixin Fan
FedML
74
2
0
12 Feb 2025
Just a Simple Transformation is Enough for Data Protection in Vertical
  Federated Learning
Just a Simple Transformation is Enough for Data Protection in Vertical Federated Learning
Andrei Semenov
Philip Zmushko
Alexander Pichugin
Aleksandr Beznosikov
91
0
0
16 Dec 2024
Training on Fake Labels: Mitigating Label Leakage in Split Learning via
  Secure Dimension Transformation
Training on Fake Labels: Mitigating Label Leakage in Split Learning via Secure Dimension Transformation
Yukun Jiang
Peiran Wang
Chengguo Lin
Ziyue Huang
Yong Cheng
31
0
0
11 Oct 2024
Venomancer: Towards Imperceptible and Target-on-Demand Backdoor Attacks
  in Federated Learning
Venomancer: Towards Imperceptible and Target-on-Demand Backdoor Attacks in Federated Learning
Son Nguyen
Thinh Nguyen
Khoa D. Doan
Kok-Seng Wong
FedML
AAML
32
0
0
03 Jul 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
80
3
0
25 May 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
60
9
0
06 Feb 2024
A GAN-based data poisoning framework against anomaly detection in
  vertical federated learning
A GAN-based data poisoning framework against anomaly detection in vertical federated learning
Xiaolin Chen
Daoguang Zan
Wei Li
Bei Guan
Yongji Wang
FedML
AAML
17
4
0
17 Jan 2024
SecureBoost Hyperparameter Tuning via Multi-Objective Federated Learning
SecureBoost Hyperparameter Tuning via Multi-Objective Federated Learning
Ziyao Ren
Yan Kang
Lixin Fan
Linghua Yang
Yongxin Tong
Qiang Yang
FedML
50
3
0
20 Jul 2023
A Survey on Vertical Federated Learning: From a Layered Perspective
A Survey on Vertical Federated Learning: From a Layered Perspective
Liu Yang
Di Chai
Junxue Zhang
Yilun Jin
Leye Wang
Hao Liu
Han Tian
Qian Xu
Kai Chen
FedML
38
28
0
04 Apr 2023
Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges
  and Future Research Directions
Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges and Future Research Directions
Thuy-Dung Nguyen
Tuan Nguyen
Phi Le Nguyen
Hieu H. Pham
Khoa D. Doan
Kok-Seng Wong
AAML
FedML
40
56
0
03 Mar 2023
HashVFL: Defending Against Data Reconstruction Attacks in Vertical
  Federated Learning
HashVFL: Defending Against Data Reconstruction Attacks in Vertical Federated Learning
Pengyu Qiu
Xuhong Zhang
S. Ji
Chong Fu
Xing Yang
Ting Wang
FedML
AAML
30
12
0
01 Dec 2022
Hijack Vertical Federated Learning Models As One Party
Hijack Vertical Federated Learning Models As One Party
Pengyu Qiu
Xuhong Zhang
Shouling Ji
Changjiang Li
Yuwen Pu
Xing Yang
Ting Wang
FedML
24
4
0
01 Dec 2022
Feature Reconstruction Attacks and Countermeasures of DNN training in
  Vertical Federated Learning
Feature Reconstruction Attacks and Countermeasures of DNN training in Vertical Federated Learning
Peng Ye
Zhifeng Jiang
Wei Wang
Bo-wen Li
Baochun Li
AAML
FedML
45
15
0
13 Oct 2022
A Survey on Heterogeneous Federated Learning
A Survey on Heterogeneous Federated Learning
Dashan Gao
Xin Yao
Qian Yang
FedML
30
58
0
10 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
134
139
0
17 Feb 2021
Analyzing Federated Learning through an Adversarial Lens
Analyzing Federated Learning through an Adversarial Lens
A. Bhagoji
Supriyo Chakraborty
Prateek Mittal
S. Calo
FedML
191
1,032
0
29 Nov 2018
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