Greg Gluch

A Cryptographic Perspective on Mitigation vs. Detection in Machine Learning

2025 · arXiv (Cornell University)

In this paper, we initiate a cryptographically inspired theoretical study of detection versus mitigation of adversarial inputs produced by attackers on Machine Learning algorithms during inference time. We formally define defense by detection (DbD) and …