Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations

no code implementations • CVPR 2022 • Zirui Peng, Shaofeng Li, Guoxing Chen, Cheng Zhang, Haojin Zhu, Minhui Xue

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 attacks.

Contrastive Learning Model extraction