Xiaosong Zhang
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GaMi is a multimodal material identification system that uses mmWave and acoustic sensing with a cross-modal subtractive disentanglement framework to achieve high accuracy (95.2%) for material identification regardless of geometric variations.
This paper proposes FedDAB, a two-phase method for defending Federated Learning against backdoor attacks using local contrastive regularization and alignment checking.
Papers
Defending Against Backdoor Attacks via Alignment Checking in Model-Contrastive Federated Learning
Hongliang Zhang, Zhongyuan Yu, Guijuan Wang, Tianqing He +3 more
This paper proposes FedDAB, a two-phase method for defending Federated Learning against backdoor attacks using local contrastive regularization and alignment checking.