SGMA: a novel adversarial attack approach with improved transferability

Peican Zhu; Jinbang Hong; Xingyu Li; Keke Tang; Zhen Wang

doi:10.1007/s40747-023-01060-0

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SGMA: a novel adversarial attack approach with improved transferability

Peican Zhu Jinbang Hong Xingyu Li Keke Tang Zhen Wang

Year: 2023 Journal: Complex & Intelligent Systems Vol: 9 (5)Pages: 6051-6063 Publisher: Springer Science+Business Media

DOI: 10.1007/s40747-023-01060-0

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Keywords:

Transferability Adversarial system Computer science Transformation (genetics) Grid Vulnerability (computing) Artificial intelligence Image (mathematics) Pattern recognition (psychology) Machine learning Data mining Computer security Mathematics

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Adversarial Robustness in Machine Learning

Physical Sciences → Computer Science → Artificial Intelligence

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

SGMA: a novel adversarial attack approach with improved transferability

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