LR-BA: Backdoor attack against vertical federated learning using local latent representations-Reference-Cited by-同舟云学术

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LR-BA: Backdoor attack against vertical federated learning using local latent representations

Published:2023-06 Issue: Volume:129 Page:103193
ISSN:0167-4048
Container-title:Computers & Security
language:en
Short-container-title:Computers & Security

Author:

Gu Yuhao^ORCID,Bai Yuebin

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Law,General Computer Science

Reference40 articles.

1. Vertical split learning - an exploration of predictive performance in medical and other use cases;Allaart,2022

2. Blind backdoors in deep learning models;Bagdasaryan,2021

3. How to backdoor federated learning;Bagdasaryan,2020

4. MixMatch: a holistic approach to semi-supervised learning;Berthelot,2019

5. Analyzing federated learning through an adversarial lens;Bhagoji,2019

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. FedIMP: Parameter Importance-based Model Poisoning attack against Federated learning system;Computers & Security;2024-09

2. Backdoor Attack Against Split Neural Network-Based Vertical Federated Learning;IEEE Transactions on Information Forensics and Security;2024

3. A Practical Clean-Label Backdoor Attack with Limited Information in Vertical Federated Learning;2023 IEEE International Conference on Data Mining (ICDM);2023-12-01

4. The Impact of Adversarial Attacks on Federated Learning: A Survey;IEEE Transactions on Pattern Analysis and Machine Intelligence;2023

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