2023
Boosting Adversarial Transferability via Gradient Relevance Attack
ICCV 2023poster
Plentiful adversarial attack researches have revealed the fragility of deep neural networks (DNNs), where the imperceptible perturbations can cause drastic changes in the output. Among the diverse types of attack methods, gradient-based attacks are powerful and easy to implement, arousing wide conce…