Fingerprinting deep neural networks - a DeepFool approach

Fingerprinting deep neural networks - a DeepFool approach

A well-trained deep learning classifier is an expensive intellectual property of the model owner. However, recently proposed model extraction attacks and reverse engineering techniques make model theft possible and similar quality deep learning solution reproducible at a low cost. To protect the int...

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Bibliographic Details
Main Authors: Wang, Si, Chang, Chip Hong
Other Authors: School of Electrical and Electronic Engineering
Format: Conference Paper
Language:English
Published: 2021
Subjects:
Engineering
Training
Deep Learning
Online Access:https://hdl.handle.net/10356/147023

Internet

https://hdl.handle.net/10356/147023

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