Amir Rahmati

Robust Physical-World Attacks on Machine Learning Models.

2017 · arXiv (Cornell University)

Deep neural network-based classifiers are known to be vulnerable to adversarial examples that can fool them into misclassifying their input through the addition of small-magnitude perturbations. However, recent studies have demonstrated that such adversarial examples …