Thesis Details
Matení algoritmů počítačového vidění
The goal of this work was to research existing methods of computer vision and computer recognition fooling. My focus was on group of methods called pixel attacks. Another part of my thesis talks about methods of detecting and fighting against computer vision fooling.Implementation of various pixel attack methods and methods of defending against these kinds of attacks was done using the python programming language and python library Keras.Solution that I have created works as standalone application allowing user to perform various pixel attack methods on chosen image. This tool also allows collection of statistics from performed pixel attacks and is able to detect possible attacks in these images.
computer vision, CIFAR-10, differential evolution, pixel attack, Keras, TensorFlow, Python
Fusek Michal, Ing., Ph.D. (DMAT FEEC BUT), člen
Martínek Tomáš, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Matoušek Petr, doc. Ing., Ph.D., M.A. (DIFS FIT BUT), člen
Rogalewicz Adam, doc. Mgr., Ph.D. (DITS FIT BUT), člen
@bachelorsthesis{FITBT21949,
author = "Mat\v{e}j Hrabal",
type = "Bachelor's thesis",
title = "Maten\'{i} algoritm\r{u} po\v{c}\'{i}ta\v{c}ov\'{e}ho vid\v{e}n\'{i}",
school = "Brno University of Technology, Faculty of Information Technology",
year = 2019,
location = "Brno, CZ",
language = "czech",
url = "https://www.fit.vut.cz/study/thesis/21949/"
}