Boosting Adversarial Transferability Through Intermediate Feature

Chenghai He; Xiaoqian Li; Xiaohang Zhang; Kai Zhang; Hailing Li; Gang Xiong; Xuan Li

doi:10.1007/978-3-031-44192-9_3

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Boosting Adversarial Transferability Through Intermediate Feature

Chenghai He Xiaoqian Li Xiaohang Zhang Kai Zhang Hailing Li Gang Xiong Xuan Li

Year: 2023 Lecture notes in computer science Pages: 28-39 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-44192-9_3

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Keywords:

Transferability Adversarial system Computer science Artificial intelligence Feature (linguistics) Machine learning Boosting (machine learning) Deep learning Pattern recognition (psychology) Logit Data mining

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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

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Boosting Adversarial Transferability Through Intermediate Feature

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