3 citations · 5 across the 3 of their papers we have counts for
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cs.CR2022★ 3 cited
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…
cs.CR2020★ 2 cited
Progressive Defense Against Adversarial Attacks for Deep Learning as a Service in Internet of Things
Ling Wang, Cheng Zhang, Zejian Luo +4
Nowadays, Deep Learning as a service can be deployed in Internet of Things (IoT) to provide smart services and sensor data processing. However, recent research has revealed that so…