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

Dehong Kong Siyuan Liang Xiaopeng Zhu Yuansheng Zhong Wenqi Ren

Visual Intelligence2024，Vol.2Issue(1)：P.409-418,10.

Visual Intelligence2024，Vol.2Issue(1)：P.409-418,10.DOI:10.1007/s44267-024-00066-7

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

Dehong Kong ¹Siyuan Liang ²Xiaopeng Zhu ³Yuansheng Zhong ³Wenqi Ren¹

作者信息

1. School of Cyber Science and Technology,Shenzhen Campus of Sun Yat-sen University,Shenzhen,518107,China The State Key Laboratory of Blockchain and Data Security,Zhejiang University,Hangzhou,310058,China
2. School of Computing,National University of Singapore,Singapore,119077,Singapore
3. Guangdong Testing Institute of Product Quality Supervision,Guangzhou,510670,China
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摘要

关键词

Adversarial Patch/Physical Attack/Diffusion Model/Naturalistic

分类

信息技术与安全科学

引用本文复制引用

Dehong Kong,Siyuan Liang,Xiaopeng Zhu,Yuansheng Zhong,Wenqi Ren..Patch is enough:naturalistic adversarial patch against vision-language pre-training models[J].Visual Intelligence,2024,2(1):P.409-418,10.

基金项目

supported by the Open Research Fund of The State Key Laboratory of Blockchain and Data Security,Zhejiang University,the Fundamental Research Funds for the Central Universities,Sun Yat-sen University(No.23xkjc010) （No.23xkjc010）

Shenzhen Science and Technology Program(Nos.RCYX20221008092849068,JCYJ20220530145209022,KOTD20221101093559018,and JCYJ20220818102012025). （Nos.RCYX20221008092849068,JCYJ20220530145209022,KOTD20221101093559018,and JCYJ20220818102012025）

Visual Intelligence

ISSN：2097-3330

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