Nov 17 – 18, 2022
Mercure Budapest Castle Hill
Europe/Budapest timezone

Preventing and restoring adversarial attacks in machine learning solutions

Not scheduled
20m
Mercure Budapest Castle Hill

Mercure Budapest Castle Hill

Budapest, Ntak:Sz19000364, Szálloda, Krisztina krt. 41-43, 1013•(06 1) 488 8100

Speaker

Andras Horvath (Pázmány Péter Catholic University - Faculty of Information Technology and Bionics)

Description

Modern machine learning enabled the solution of complex problems, where a vast amount of data is available.
Unfortunately in many cases the developed solutions are not robust and even the slightest modifications can drastically change the networks output. The most interesting deliberate modifications are the so called adversarial attacks, which can be considered as optical illusions for neural networks.
In this talk I would like to introduce some theoretical results which can help in the development of robust solutions against adversarial attacks.

Primary author

Andras Horvath (Pázmány Péter Catholic University - Faculty of Information Technology and Bionics)

Presentation materials

There are no materials yet.