A well-trained deep neural network (DNNs) requires massive computing resources and
data, therefore it belongs to the model owners' Intellectual Property (IP). Recent works have …

Currently, deep neural networks (DNNs) are widely adopted in different applications.
Despite its commercial values, training a well-performed DNN is resource-consuming …

Deep neural networks (DNNs) require expensive training, which is why the protection of
model intellectual property (IP) is becoming more critical. Recently, model stealing has …

Due to training a deep learning model requires a lot of resources, we regard the trained
model as the intellectual property (IP) of its trainer. However, researchers have shown that …

Obtaining well-performed deep neural networks usually requires expensive data collection
and training procedures. Accordingly, they are valuable intellectual properties of their …

Training deep neural network (DNNs) requires massive computing resources and data,
hence the trained models belong to the model owners' Intellectual Property (IP), and it is …

Due to the wide use of highly-valuable and large-scale deep neural networks (DNNs), it
becomes crucial to protect the intellectual property of DNNs so that the ownership of …

Deep neural network (DNN) with the state of art performance has emerged as a viable and
lucrative business service. However, those impressive performances require a large number …

In the era of deep learning, it is critical to protect the intellectual property of high-
performance deep neural network (DNN) models. Existing proposals, however, are subject …

A well-trained deep learning classifier is an expensive intellectual property of the model
owner. However, recently proposed model extraction attacks and reverse engineering …