An Embarrassingly Simple Approach for Intellectual Property Rights Protection on Recurrent Neural Networks. (arXiv:2210.00743v2 [cs.CL] UPDATED)

Capitalise on deep learning models, offering Natural Language Processing
(NLP) solutions as a part of the Machine Learning as a Service (MLaaS) has
generated handsome revenues. At the same time, it is known that the creation of
these lucrative deep models is non-trivial. Therefore, protecting these
inventions intellectual property rights (IPR) from being abused, stolen and
plagiarized is vital. This paper proposes a practical approach for the IPR
protection on recurrent neural networks (RNN) without all the bells and
whistles …

intellectual property networks neural networks protection rights simple