Improving transferability of adversarial examples by saliency distribution and data augmentation

Yansong Dong; Long Tang; Cong Tian; Bin Yu; Zhenhua Duan

doi:10.1016/j.cose.2022.102811

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Improving transferability of adversarial examples by saliency distribution and data augmentation

Yansong Dong Long Tang Cong Tian Bin Yu Zhenhua Duan

Year: 2022 Journal: Computers & Security Vol: 120 Pages: 102811-102811 Publisher: Elsevier BV

DOI: 10.1016/j.cose.2022.102811

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Keywords:

Adversarial system Transferability Computer science Overfitting Deep neural networks Artificial intelligence Machine learning Source code Code (set theory) Benchmark (surveying) Deep learning Data mining Artificial neural network Programming language

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Adversarial Robustness in Machine Learning

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Improving transferability of adversarial examples by saliency distribution and data augmentation

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