Bingfeng Ge

An interpretable adversarial robustness evaluation method based on robust paths

2024

Deep Neural Networks (DNNs) are susceptible to adversarial attacks, which give rise to risks in real-world applications. Understanding the mechanism of DNNs against adversarial attacks and evaluating adversarial robustness are of great interest. However, existing …