#OPENBOX - Machine Learning Security Against Data Poisoning - Kathrin Grosse - Part 1

OPENBOX aims at bringing an easier understanding of open problems that helps in finding solutions for such problems. For the said purpose, I interview researchers and practitioners who have published works on open problems in various areas of Artificial Intelligence and Machine Learning to collect a simplified understanding of these open problems. These are published as podcast series. In this podcast we have Kathrin Grosse. Kathrin Grosse is a Post Doc researcher with Battista Biggio at the University of Cagliari working on Adversarial learning. In this podcast we cover a paper titled “Machine Learning Security against Data Poisoning: Are We There Yet? ” published in April 2022, which she co-authored. This is part 1 of the podcast. In this podcast, she covers the thoughts around the impracticality of some threat models considered for poisoning attacks in a real-world application and scalability of poisoning attacks against large-scale models — --- Send in a voice message: https://podcasters.spotify.com/pod/show/ryan-carrier3/message

Om Podcasten

ATGO AI is podcast channel from ForHumanity. This podcast will bring multiple series of insights on topics of pressing importance specifically in the space of Ethics and Accountability of emerging technology. You will hear from game changers in this field who have spearheaded accountability, transparency, governance and oversight in developing and deploying emerging technology (including Artificial Intelligence).