Boosting Adversarial Transferability Through Adversarial Attack Enhancer

Adversarial attacks against deep learning models achieve high performance in white-box settings but often exhibit low transferability in black-box scenarios, especially against defended models. In this work, we propose Multi-Path Random Restart (MPRR), which initializes multiple restart points with...

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書誌詳細

主要な著者:	Wenli Zeng, Hong Huang, Jixin Chen
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2025-09-01
シリーズ:	Applied Sciences
主題:	adversarial attack transferability random noise
オンライン･アクセス:	https://www.mdpi.com/2076-3417/15/18/10242
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