2023
Interpretation of Neural Networks is Susceptible to Universal Adversarial Perturbations
ICASSP 2023accepted
Interpreting neural network classifiers using gradient-based saliency maps has been extensively studied in the deep learning literature. While the existing algorithms manage to achieve satisfactory performance in application to standard image recognition datasets, recent works demonstrate the vulner…