ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2301.08170
  4. Cited By
On the Vulnerability of Backdoor Defenses for Federated Learning

On the Vulnerability of Backdoor Defenses for Federated Learning

AAAI Conference on Artificial Intelligence (AAAI), 2023
19 January 2023
Pei Fang
Jinghui Chen
    FedML
ArXiv (abs)PDFHTMLGithub

Papers citing "On the Vulnerability of Backdoor Defenses for Federated Learning"

11 / 11 papers shown
Enhancing the Effectiveness and Durability of Backdoor Attacks in Federated Learning through Maximizing Task Distinction
Enhancing the Effectiveness and Durability of Backdoor Attacks in Federated Learning through Maximizing Task Distinction
Zhaoxin Wang
Handing Wang
Cong Tian
Yaochu Jin
FedMLAAML
248
0
0
23 Sep 2025
On the Out-of-Distribution Backdoor Attack for Federated Learning
On the Out-of-Distribution Backdoor Attack for Federated Learning
Jiahao Xu
Zikai Zhang
Rui Hu
OODDAAML
315
1
0
16 Sep 2025
On Hyperparameters and Backdoor-Resistance in Horizontal Federated Learning
On Hyperparameters and Backdoor-Resistance in Horizontal Federated Learning
Simon Lachnit
Ghassan O. Karame
FedMLAAML
302
1
0
05 Sep 2025
BadPromptFL: A Novel Backdoor Threat to Prompt-based Federated Learning in Multimodal Models
BadPromptFL: A Novel Backdoor Threat to Prompt-based Federated Learning in Multimodal Models
Maozhen Zhang
Mengnan Zhao
Wei Wang
Bo Wang
FedMLSILM
310
0
0
11 Aug 2025
BackFed: An Efficient & Standardized Benchmark Suite for Backdoor Attacks in Federated Learning
BackFed: An Efficient & Standardized Benchmark Suite for Backdoor Attacks in Federated Learning
Thinh Dao
Dung Thuy Nguyen
Khoa D. Doan
Kok-Seng Wong
FedMLSILM
261
1
0
07 Jul 2025
Detecting Backdoor Attacks in Federated Learning via Direction Alignment Inspection
Detecting Backdoor Attacks in Federated Learning via Direction Alignment InspectionComputer Vision and Pattern Recognition (CVPR), 2025
Jiahao Xu
Zikai Zhang
Rui Hu
AAMLFedML
684
13
0
11 Mar 2025
Infighting in the Dark: Multi-Label Backdoor Attack in Federated Learning
Infighting in the Dark: Multi-Label Backdoor Attack in Federated LearningComputer Vision and Pattern Recognition (CVPR), 2024
Ye Li
Yanchao Zhao
Chengcheng Zhu
Jiale Zhang
AAML
456
4
0
29 Sep 2024
Mitigating Malicious Attacks in Federated Learning via Confidence-aware
  Defense
Mitigating Malicious Attacks in Federated Learning via Confidence-aware Defense
Qilei Li
A. Abdelmoniem
FedMLAAML
260
1
0
05 Aug 2024
Non-Cooperative Backdoor Attacks in Federated Learning: A New Threat
  Landscape
Non-Cooperative Backdoor Attacks in Federated Learning: A New Threat Landscape
Tuan Nguyen
Dung Thuy Nguyen
Khoa D. Doan
Kok-Seng Wong
AAML
234
3
0
05 Jul 2024
Concealing Backdoor Model Updates in Federated Learning by
  Trigger-Optimized Data Poisoning
Concealing Backdoor Model Updates in Federated Learning by Trigger-Optimized Data Poisoning
Yujie Zhang
Neil Zhenqiang Gong
Michael K. Reiter
FedML
207
2
0
10 May 2024
Get Rid Of Your Trail: Remotely Erasing Backdoors in Federated Learning
Get Rid Of Your Trail: Remotely Erasing Backdoors in Federated LearningIEEE Transactions on Artificial Intelligence (IEEE TAI), 2023
Manaar Alam
Hithem Lamri
Michail Maniatakos
FedMLAAMLMU
244
27
0
20 Apr 2023
1
Page 1 of 1