Saved in:
| Main Authors: | Xu, Weida, Xu, Yang, Zhang, Sicong |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2408.13849 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SAB:A Stealing and Robust Backdoor Attack based on Steganographic Algorithm against Federated Learning
by: Xu, Weida, et al.
Published: (2024)
by: Xu, Weida, et al.
Published: (2024)
On the Out-of-Distribution Backdoor Attack for Federated Learning
by: Xu, Jiahao, et al.
Published: (2025)
by: Xu, Jiahao, et al.
Published: (2025)
Distributed Backdoor Attacks on Federated Graph Learning and Certified Defenses
by: Yang, Yuxin, et al.
Published: (2024)
by: Yang, Yuxin, et al.
Published: (2024)
Infighting in the Dark: Multi-Label Backdoor Attack in Federated Learning
by: Li, Ye, et al.
Published: (2024)
by: Li, Ye, et al.
Published: (2024)
Stealthy Backdoor Attack via Confidence-driven Sampling
by: He, Pengfei, et al.
Published: (2023)
by: He, Pengfei, et al.
Published: (2023)
HPE: Hallucinated Positive Entanglement for Backdoor Attacks in Federated Self-Supervised Learning
by: Wang, Jiayao, et al.
Published: (2026)
by: Wang, Jiayao, et al.
Published: (2026)
SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning
by: Zhu, Chengcheng, et al.
Published: (2025)
by: Zhu, Chengcheng, et al.
Published: (2025)
Lurking in the shadows: Unveiling Stealthy Backdoor Attacks against Personalized Federated Learning
by: Lyu, Xiaoting, et al.
Published: (2024)
by: Lyu, Xiaoting, et al.
Published: (2024)
Backdoor Attacks in Peer-to-Peer Federated Learning
by: Syros, Georgios, et al.
Published: (2023)
by: Syros, Georgios, et al.
Published: (2023)
EmoBack: Backdoor Attacks Against Speaker Identification Using Emotional Prosody
by: Schoof, Coen, et al.
Published: (2024)
by: Schoof, Coen, et al.
Published: (2024)
Detecting Backdoor Attacks in Federated Learning via Direction Alignment Inspection
by: Xu, Jiahao, et al.
Published: (2025)
by: Xu, Jiahao, et al.
Published: (2025)
Cooperative Decentralized Backdoor Attacks on Vertical Federated Learning
by: Lee, Seohyun, et al.
Published: (2025)
by: Lee, Seohyun, et al.
Published: (2025)
Activation Gradient based Poisoned Sample Detection Against Backdoor Attacks
by: Yuan, Danni, et al.
Published: (2023)
by: Yuan, Danni, et al.
Published: (2023)
The Ripple Effect: On Unforeseen Complications of Backdoor Attacks
by: Zhang, Rui, et al.
Published: (2025)
by: Zhang, Rui, et al.
Published: (2025)
Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning
by: Liu, Tao, et al.
Published: (2024)
by: Liu, Tao, et al.
Published: (2024)
Robust Knowledge Distillation in Federated Learning: Counteracting Backdoor Attacks
by: Alharbi, Ebtisaam, et al.
Published: (2025)
by: Alharbi, Ebtisaam, et al.
Published: (2025)
Combinational Backdoor Attack against Customized Text-to-Image Models
by: Jiang, Wenbo, et al.
Published: (2024)
by: Jiang, Wenbo, et al.
Published: (2024)
IPBA: Imperceptible Perturbation Backdoor Attack in Federated Self-Supervised Learning
by: Wang, Jiayao, et al.
Published: (2025)
by: Wang, Jiayao, et al.
Published: (2025)
Backdoor Attack on Vertical Federated Graph Neural Network Learning
by: Yang, Jirui, et al.
Published: (2024)
by: Yang, Jirui, et al.
Published: (2024)
Imperceptible Sample-Specific Backdoor to DNN with Denoising Autoencoder
by: Wang, Xiangqi, et al.
Published: (2023)
by: Wang, Xiangqi, et al.
Published: (2023)
Let's Focus: Focused Backdoor Attack against Federated Transfer Learning
by: Arazzi, Marco, et al.
Published: (2024)
by: Arazzi, Marco, et al.
Published: (2024)
Backdoor Federated Learning by Poisoning Backdoor-Critical Layers
by: Zhuang, Haomin, et al.
Published: (2023)
by: Zhuang, Haomin, et al.
Published: (2023)
Structure-Aware Distributed Backdoor Attacks in Federated Learning
by: Jian, Wang, et al.
Published: (2026)
by: Jian, Wang, et al.
Published: (2026)
More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks
by: Xu, Jing, et al.
Published: (2022)
by: Xu, Jing, et al.
Published: (2022)
SecureSplit: Mitigating Backdoor Attacks in Split Learning
by: Dou, Zhihao, et al.
Published: (2026)
by: Dou, Zhihao, et al.
Published: (2026)
Runtime Backdoor Detection for Federated Learning via Representational Dissimilarity Analysis
by: Zhang, Xiyue, et al.
Published: (2025)
by: Zhang, Xiyue, et al.
Published: (2025)
Invariant Aggregator for Defending against Federated Backdoor Attacks
by: Wang, Xiaoyang, et al.
Published: (2022)
by: Wang, Xiaoyang, et al.
Published: (2022)
SDBA: A Stealthy and Long-Lasting Durable Backdoor Attack in Federated Learning
by: Choe, Minyeong, et al.
Published: (2024)
by: Choe, Minyeong, et al.
Published: (2024)
BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federated Learning
by: Li, Songze, et al.
Published: (2024)
by: Li, Songze, et al.
Published: (2024)
Merge Hijacking: Backdoor Attacks to Model Merging of Large Language Models
by: Yuan, Zenghui, et al.
Published: (2025)
by: Yuan, Zenghui, et al.
Published: (2025)
DarkFed: A Data-Free Backdoor Attack in Federated Learning
by: Li, Minghui, et al.
Published: (2024)
by: Li, Minghui, et al.
Published: (2024)
On Hyperparameters and Backdoor-Resistance in Horizontal Federated Learning
by: Lachnit, Simon, et al.
Published: (2025)
by: Lachnit, Simon, et al.
Published: (2025)
Client-Side Patching against Backdoor Attacks in Federated Learning
by: Molina-Coronado, Borja
Published: (2024)
by: Molina-Coronado, Borja
Published: (2024)
Exploiting Layer-Specific Vulnerabilities to Backdoor Attack in Federated Learning
by: Foroughi, Mohammad Hadi, et al.
Published: (2026)
by: Foroughi, Mohammad Hadi, et al.
Published: (2026)
Prototype-Guided Robust Learning against Backdoor Attacks
by: Guo, Wei, et al.
Published: (2025)
by: Guo, Wei, et al.
Published: (2025)
Backdoor Attack with Mode Mixture Latent Modification
by: Zhang, Hongwei, et al.
Published: (2024)
by: Zhang, Hongwei, et al.
Published: (2024)
Injection, Attack and Erasure: Revocable Backdoor Attacks via Machine Unlearning
by: Song, Baogang, et al.
Published: (2025)
by: Song, Baogang, et al.
Published: (2025)
Is the Trigger Essential? A Feature-Based Triggerless Backdoor Attack in Vertical Federated Learning
by: Liu, Yige, et al.
Published: (2026)
by: Liu, Yige, et al.
Published: (2026)
Concept-Guided Backdoor Attack on Vision Language Models
by: Shen, Haoyu, et al.
Published: (2025)
by: Shen, Haoyu, et al.
Published: (2025)
BDPFL: Backdoor Defense for Personalized Federated Learning via Explainable Distillation
by: Zhu, Chengcheng, et al.
Published: (2025)
by: Zhu, Chengcheng, et al.
Published: (2025)
Similar Items
-
SAB:A Stealing and Robust Backdoor Attack based on Steganographic Algorithm against Federated Learning
by: Xu, Weida, et al.
Published: (2024) -
On the Out-of-Distribution Backdoor Attack for Federated Learning
by: Xu, Jiahao, et al.
Published: (2025) -
Distributed Backdoor Attacks on Federated Graph Learning and Certified Defenses
by: Yang, Yuxin, et al.
Published: (2024) -
Infighting in the Dark: Multi-Label Backdoor Attack in Federated Learning
by: Li, Ye, et al.
Published: (2024) -
Stealthy Backdoor Attack via Confidence-driven Sampling
by: He, Pengfei, et al.
Published: (2023)