ELFT HÍRADÓ

[mcsete AT physx.u-szeged.hu]

Seminar

Speaker: Prof. Márk Jelasity
Department of Algorithms and AI
University of Szeged

Date: 07, February (Wednesday) 2024, 3:00 pm
Location: USZ FSI IP, Budó auditorium & online
https://join.skype.com/Kq14BLX30ftv

Title:
Adversarial Robustness of Deep Neural Networks

Deep neural networks (DNNs) are the foundations of AI systems, yet   
they are known to have several vulnerabilities that are unsolved to   
this day. A particularly interesting vulnerability is that it is   
possible to construct inputs to these networks that are extremely   
close to natural inputs (eg. invisible perturbations to images) yet   
result in completely unexpected behaviour. This adversarial behaviour   
can even be designed in advance. In the talk I will give several   
examples of this problem, and I will also present some of our own   
results in the area. I will briefly touch on the formal verification   
of neural networks from the point of view of adversarial robustness,   
and I will also discuss some applications like attacking semantic   
image segmentation networks and attacking entire ensembles of models.

Everyone is welcome to attend.

Dr. Mária Csete


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