Machine Learning under Adversaries: How Structure in Data Helps by Ambar Pal
SIT 001 Amar Nath and Shashi Khosla School of Information Technology, IIT Delhi, Hauz Khas, New Delhi 110016, India, DelhiVenue: SIT001 Abstract: This talk overviews recent results in the theoretical foundations of adversarially robust machine learning. Modern ML classifiers can fail spectacularly when subject to specially crafted input-perturbations, called… Read More »Machine Learning under Adversaries: How Structure in Data Helps by Ambar Pal