Machine learning model is vulnerable to model extraction attacks since the attackers can
send plenty of queries to infer the hyperparameters of the machine learning model thus …

As the amount of data and computational power explosively increase, valuable results are
being created using machine learning techniques. In particular, models based on deep …

Feedforward-designed convolutional neural network (FF-CNN) is an interpretable network.
The parameter training of the model does not require backpropagation (BP) and …

Abstract Machine learning models trained by large volume of proprietary data and intensive
computational resources are valuable assets of their owners, who merchandise these …

The deep learning model will contain user-sensitive information during training. When the
model is applied, the attacker can recover the sensitive information in the training data set …

Deep learning achieves remarkable success in the fields of target detection, computer
vision, natural language processing, and speech recognition. However, traditional deep …

Deep learning models have achieved great success in many real-world tasks such as image
recognition, machine translation, and self-driving cars. A large amount of data are needed to …

Recent breakthrough in neural network has led to the birth of Convolutional neural network
(CNN) which has been found to be very efficient especially in the areas of image recognition …

Machine learning service API allows model owners to monetize proprietary models by
offering prediction services to third-party users. However, existing literature shows that …

Privacy preserving data analysis is currently one of the research hotspots in the field of
information security. The objective of data analysis is to extract valuable information from …