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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Bibliografski detalji

Glavni autori:	Wenli Zeng, Hong Huang, Jixin Chen
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2025-09-01
Serija:	Applied Sciences
Teme:	adversarial attack transferability random noise
Online pristup:	https://www.mdpi.com/2076-3417/15/18/10242
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