DNNShield: Dynamic Randomized Model Sparsification, A Defense Against Adversarial Machine Learning

Mohammad Hossein Samavatian, Saikat Majumdar, Kristin Barber +1

DNNs are known to be vulnerable to so-called adversarial attacks that manipulate inputs to cause incorrect results that can be beneficial to an attacker or damaging to the victim.…