Enhancing the Transferability of Adversarial Patch via Alternating Minimization

Enhancing the Transferability of Adversarial Patch via Alternating Minimization

Abstract Adversarial patches, a type of adversarial example, pose serious security threats to deep neural networks (DNNs) by inducing erroneous outputs. Existing gradient stabilization methods aim to stabilize the optimization direction of adversarial examples through accumulating gradient momentum...

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Bibliographic Details
Main Authors: Yang Wang, Lei Chen, Zhen Yang, Tieyong Cao
Format: Article
Language:English
Published: Springer 2024-08-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Adversarial attack
Adversarial patch
Attack transferability
Neural network robustness
Online Access:https://doi.org/10.1007/s44196-024-00617-2

Internet

https://doi.org/10.1007/s44196-024-00617-2

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