Trustworthy

Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork

Deep neural networks (DNNs) are vulnerable to backdoor attacks. Previous works have shown it extremely challenging to unlearn the undesired backdoor behavior from the network, since the entire network can be affected by the backdoor samples. In this …

Federated Adversarial Debiasing for Fair and Transferable Representations

A distributed domain/group debiasing framework for unsupervised domain adaptation or fairness enhancement.