Sample-analysis based adversarial attack with saliency map

Published: 2024, Last Modified: 08 Apr 2025Appl. Soft Comput. 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Illustrating the large robustness radius solved by the Lipschitz property.•Proposing a framework for the analysis of robustness in deep neural networks.•Introducing an adversarial attack algorithm that leverages the saliency map.
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