Defending with Errors: Approximate Computing for Robustness of Deep Neural Networks

Amira Guesmi, Ihsen Alouani, Khaled N. Khasawneh +4

Machine-learning architectures, such as Convolutional Neural Networks (CNNs) are vulnerable to adversarial attacks: inputs crafted carefully to force the system output to a wrong l…