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Doubly-Universal Adversarial Perturbations: Deceiving Vision-Language Models Across Both Images and Text with a Single Perturbation

Fuente: arXiv

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Bibliographic Details
Main Authors:	Kim, Hee-Seon, Kim, Minbeom, Kim, Changick
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Computation and Language Cryptography and Security
Online Access:	Acceder al recurso
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