2018
Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models
ICLR 2018poster
Many machine learning algorithms are vulnerable to almost imperceptible perturbations of their inputs. So far it was unclear how much risk adversarial perturbations carry for the safety of real-world machine learning applications because most methods used to generate such perturbations rely either o…