Deep Learning Seminar  /  10. Dezember 2020, 10:00 – 11:00 Uhr

Adversarial Examples – An Introduction

Referentin: Paula Harder (Fraunhofer ITWM, Abteilung HPC)


[nur in Englisch verfügbar]

Despite the success of Deep Neural Networks (DNNs) in multiple domains, they remain vulnerable against so called adversarial examples. A small, crafted perturbation in the input image can lead to missclassification. In this talk an introduction to the concepts and ideas of those attacks will be given, as well as defense possibilities and further application cases.