Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2112.05409
Cited By
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
Re-assign community
ArXiv
PDF
HTML
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Dashan Gao
Xin Yao
Qian Yang
FedML
30
58
0
10 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
134
139
0
17 Feb 2021
Analyzing Federated Learning through an Adversarial Lens
A. Bhagoji
Supriyo Chakraborty
Prateek Mittal
S. Calo
FedML
191
1,032
0
29 Nov 2018
1