The goal of this session is to demystify machine learning for attendees and show them how a machine learning system(AI surveillance systems) works under the hood. One more outcome of this session is to show that machine learning is just a technology and it’s not foolproof. In fact, many deep learning models are vulnerable to the adversarial attack, i.e., imperceptible but intentionally-designed perturbations to the input can cause the incorrect output of the models.

Hence, how you can use it to make yourself invisible to such AI surveillance systems. Here’s the demo video from the original paper: https://youtu.be/MIbFvK2S9g8

This session aims to be highly engaging, collaborative and can be adjusted to suit the attendee’s knowledge of AI and programming.