Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations

Zirui Peng, Shaofeng Li, Guoxing Chen +3

In this paper, we propose a novel and practical mechanism which enables the service provider to verify whether a suspect model is stolen from the victim model via model extraction…