arXiv cs.CV
· Papers
When Modalities Fail to Tango: Conformal Backdoor Detection in Multimodal Contrastive Learning
arXiv:2608.04052v1 Announce Type: cross Abstract: Backdoor attacks in multimodal contrastive learning (MCL) have garnered growing attention in recent years, as many downstream tasks critically depend on pre-trained MCL models. Existing detection-based defenses predominantly rely on the CLIPScore metric, under the assum