Robust Physical-World Attacks on Deep Learning Models

Kevin Eykholt, Ivan Evtimov, Earlence Fernandes +6

Recent studies show that the state-of-the-art deep neural networks (DNNs) are vulnerable to adversarial examples, resulting from small-magnitude perturbations added to the input. G…