Study day 'Masterclass Adversarial Machine Learning (part I)'

For whom
Alumni , Business , Employees
01-12-2021 from 09:00 to 12:30
building 126 (IGent), Technologiepark , 9052 Zwijnaarde
UGain - UGent Academie voor Ingenieurs

Get full details of generative adversarial networks and how to find and protect against adversarial examples.

Adversarial learning is a subfield of machine learning that is concerned with what happens when we fool a machine learning model and how we can prevent and/or exploit this. An example of exploitation is found in the class of machine learning models called generative adversarial networks. Ever since the dawn of generative adversarial networks, the field of generative machine learning has taken multiple leaps forward and has paved the way to application domains we couldn’t even think of before. On the first morning (1 December 2021) we will examine generative adversarial networks in full detail, while the second morning (3 December 2021) will all be about finding and protecting against adversarial examples.

Each class will be wrapped up by a speaker from industry (ML6 and IBM), where theory becomes practice Masterclass is also available via livestream.