Deep Intellectual Property: A Survey. (arXiv:2304.14613v1 [cs.AI])

With the widespread application in industrial manufacturing and commercial
services, well-trained deep neural networks (DNNs) are becoming increasingly
valuable and crucial assets due to the tremendous training cost and excellent
generalization performance. These trained models can be utilized by users
without much expert knowledge benefiting from the emerging ''Machine Learning
as a Service'' (MLaaS) paradigm. However, this paradigm also exposes the
expensive models to various potential threats like model stealing and abuse. As
an urgent requirement to defend against these …

application assets commercial cost emerging expert industrial industrial manufacturing intellectual property knowledge machine machine learning manufacturing networks neural networks performance service services survey training