The evaluation of machine learning models robustness in adversarial settings is not a trivial task. If the model is robust to a particular kind of attack, it is not a sufficient measure of its robustness. In order to have confidence in the predictions made by the model, one needs to check its robustness against a variety of attack techniques.

The SAFAIR AI Contest aims to evaluate the robustness of a defence technique by means of a two-player game. The participants can either register in the Attack or Defence tracks. These attack and defence teams are then continuously pitted against each other. This encourages the creation of more robust deep learning models as well as to find adversarial attack methods which can effectively fool the target system across a variety of defence techniques.

The contest has been started from 01.03.21 and will end on 15.05.21. To learn more and to register in the contest, please visit the contest website.