Adapting Few-Shot Classification via In-Process Defense

Most few-shot learning methods employ either adaptive approaches or parameter amortization techniques. However, their reliance on pre-trained models presents a significant vulnerability. When an attacker's trigger activates a hidden backdoor, it may result in the misclassification of images, pr...

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Publié dans:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 33(2024) vom: 17., Seite 5232-5245
Auteur principal:	Yang, Xi (Auteur)
Autres auteurs:	Kong, Dechen, Lin, Ren, Wang, Nannan, Gao, Xinbo
Format:	Article en ligne
Langue:	English
Publié:	2024
Accès à la collection:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sujets:	Journal Article