AIBearisharXiv – CS AI · 18h ago7/10
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Model Poisoning Against Federated Model Adaptation with Chain of Bit-Flips
Researchers demonstrate a novel backdoor attack against Federated Learning systems by exploiting hardware faults (bit-flips) to poison model parameters during training. The attack achieves 94% success rate on ResNet-18 with minimal fault injections, expanding the threat surface of distributed ML systems beyond software-based attacks.