
The author introduces the concept of backdoor-critical layers in federated learning, proposing new attack methodologies that exploit these layers for stealthy attacks.


coremsg

Backdoor-Federated-Learning-Identifying-Backdoor-Critical-Layers


Backdoor Federated Learning: Identifying Backdoor-Critical Layers


title_rewrite


Backdoor attacks can manipulate agents without affecting performance, prompting the need for robust defense mechanisms.


navigating-agents-attack-and-defense-in-federated-learning


Navigating Agents: Attack and Defense in Federated Learning



The author proposes a novel backdoor attack mechanism, DPOT, that effectively conceals malicious clients' model updates among those of benign clients by dynamically adjusting backdoor objectives, rendering existing defenses ineffective.


backdoor-attack-on-federated-learning-by-dynamically-optimizing-trigger-patterns


Backdoor Attack on Federated Learning by Dynamically Optimizing Trigger Patterns
