Watermarking of Deep Recurrent Neural Network Using Adversarial Examples to Protect Intellectual Property

Watermarking of Deep Recurrent Neural Network Using Adversarial Examples to Protect Intellectual Property

In the present era, deep learning algorithms are the key elements of several state-of-the-art solutions. But developing these algorithms for production requires a huge volume of data, computational resources, and human expertise. Thus, illegal reproduction, distribution, and modification of these mo...

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Bibliographic Details
Main Authors: Pulkit Rathi, Saumya Bhadauria, Sugandha Rathi
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:Applied Artificial Intelligence
Subjects:
adversarial examples
deep neural network
deep speech
speech-to-text conversion
watermarking
Online Access:http://dx.doi.org/10.1080/08839514.2021.2008613

Internet

http://dx.doi.org/10.1080/08839514.2021.2008613

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