Adversarial examples are a widely studied phenomenon in machine learning...
Adversarial training (AT) has become a popular choice for training robus...
We study the robustness against adversarial examples of kNN classifiers ...
Robustness is an increasingly important property of machine learning mod...
A large body of recent work has investigated the phenomenon of evasion
a...
Despite a large amount of attention on adversarial examples, very few wo...
Sign recognition is an integral part of autonomous cars. Any
misclassifi...
We propose a new real-world attack against the computer vision based sys...
As an initial assessment, over 480,000 labeled virtual images of normal
...