Exploring DNN Robustness Against Adversarial Attacks Using Approximate Multipliers

Mohammad Javad Askarizadeh, Ebrahim Farahmand, Jorge Castro-Godinez +3

Deep Neural Networks (DNNs) have advanced in many real-world applications, such as healthcare and autonomous driving. However, their high computational complexity and vulnerability…