Patch is enough: naturalistic adversarial patch against vision-language pre-training models

Patch is enough: naturalistic adversarial patch against vision-language pre-training models

Abstract Visual language pre-training (VLP) models have demonstrated significant success in various domains, but they remain vulnerable to adversarial attacks. Addressing these adversarial vulnerabilities is crucial for enhancing security in multi-modal learning. Traditionally, adversarial methods t...

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Bibliographic Details
Main Authors: Dehong Kong, Siyuan Liang, Xiaopeng Zhu, Yuansheng Zhong, Wenqi Ren
Format: Article
Language:English
Published: Springer 2024-12-01
Series:Visual Intelligence
Subjects:
Adversarial Patch
Physical Attack
Diffusion Model
Naturalistic
Online Access:https://doi.org/10.1007/s44267-024-00066-7
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https://doi.org/10.1007/s44267-024-00066-7

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