Vulnerabilities
Study Examines Universal Adversarial Attacks in Distributed Learning
Researchers from Scuola Superiore Sant’Anna in Pisa have studied universal adversarial attacks in distributed learning frameworks, focusing on how attackers can exploit edge portions of neural networks to induce mispredictions in cloud-based segments.