This work was done during one weekend by research workshop participants and does not represent the work of Apart Research.
AI Testing
Accepted at the 
AI Testing
 research sprint on 
December 19, 2022

Evaluating Critical Level Of Perturbations Required To Achieve Certain Fail Rate

The fundamental point of the current research is to measure the precise amount of perturbations (noise) needed to be added to a certain image in order for it to be misclassified by the network. The estimation would be achieved via the method of adversarial attack. The outcome of the research is important, for they would be crucial while using networks involving matters of great importance where incorrect results of the process would lead to detrimental consequences.

Daniel Langov, Yoan Popov, Dimitar Smenovski, Vinchentzo Bunardzhiev, Kiril Panayotov, Ivan Bozhanin
4th place
3rd place
2nd place
1st place
 by peer review