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Embracing Adaptation: An Effective Dynamic Defense Strategy Against Adversarial Examples

Year: 2024

Type: conference-paper

Source: ACM International Conference on Multimedia (ACM MM)

DOI: 10.1145/3664647.3680580

Authors: Shenglin Yin, Kelu Yao, Zhen Xiao, Jieyi Long

Institutions: Peking University, Zhejiang Lab, Zhejiang University

Language: English

Topic: Adversarial Robustness in Machine Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4403780625

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Cites: 18

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Related to: 10