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In this paper, we present DSN (Deep Serial Number), a simple yet effectivewatermarking algorithm designed specifically for deep neural networks (DNNs).Unlike traditional methods that incorporate identification signals into DNNs,our approach explores a novel Intellectual Property (IP) protection mechanismfor DNNs, effectively thwarting adversaries from using stolen networks.Inspired by the success of serial numbers in safeguarding conventional softwareIP, we propose the first implementation of serial number embedding within DNNs.To achieve this, DSN is integrated into a knowledge distillation framework, inwhich a private teacher DNN is initially trained. Subsequently, its knowledgeis distilled and imparted to a series of customized student DNNs. Each customerDNN functions correctly only upon input of a valid serial number. Experimentalresults across various applications demonstrate DSN's efficacy in preventingunauthorized usage without compromising the original DNN performance. Theexperiments further show that DSN is resistant to different categories ofwatermark attacks.

Deep Serial Number: Computational Watermarking for DNN Intellectual Property Protection