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cs.CV2024
Act in Collusion: Distributed Multi-Target Backdoor Attacks in Federated Learning
Tao Liu, Dapeng Man, Jiguang Lv +6
Federated learning (FL) is widely used in Internet-of-Things (IoT) systems, but its distributed training process also exposes it to backdoor attacks. Existing studies mainly consid…
cs.CL2024
Revisiting Interpolation Augmentation for Speech-to-Text Generation
Chen Xu, Jie Wang, Xiaoqian Liu +6
Speech-to-text (S2T) generation systems frequently face challenges in low-resource scenarios, primarily due to the lack of extensive labeled datasets. One emerging solution is cons…
cs.CR2024
Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning
Tao Liu, Yuhang Zhang, Zhu Feng +4
Backdoors on federated learning will be diluted by subsequent benign updates. This is reflected in the significant reduction of attack success rate as iterations increase, ultimate…