A DNN fingerprint for non-repudiable model ownership identification and piracy detection

A DNN fingerprint for non-repudiable model ownership identification and piracy detection

A high-performance Deep Neural Network (DNN) model is a valuable intellectual property (IP) since designing and training such a model from scratch is very costly. Model transfer learning, compression and retraining are commonly used by pirates to evade detection or even redeploy the pirated models f...

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Bibliographic Details
Main Authors: Zheng, Yue, Wang, Si, Chang, Chip Hong
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2022
Subjects:
Engineering::Electrical and electronic engineering
DNN IP Protection
Fingerprinting
Random Projection
Cross Application
Ownership
Online Access:https://hdl.handle.net/10356/162779

Internet

https://hdl.handle.net/10356/162779

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