Deep learning has become the de-facto computational paradigm for various kinds of
perception problems, including many privacy-sensitive applications such as online medical …

A convolutional neural network (CNN) model represents a crucial piece of intellectual
property in many applications. Revealing its structure or weights would leak confidential …

Deep Neural Network (DNN) models have been extensively developed by companies for a
wide range of applications. The development of a customized DNN model with great …

Machine learning has become mainstream across industries. Numerous examples prove the
validity of it for security applications. In this work, we investigate how to reverse engineer a …

Machine learning has become mainstream across industries. Numerous examples proved
the validity of it for security applications. In this work, we investigate how to reverse engineer …

This paper studies model-inversion attacks, in which the access to a model is abused to infer
information about the training data. Since its first introduction by [??], such attacks have …

Deep neural networks (DNNs) have become the essential components for various
commercialized machine learning services, such as Machine Learning as a Service …

Internet application providers now have more incentive than ever to collect user data, which
greatly increases the risk of user privacy violations due to the emerging of deep neural …

Deep learning models have consistently outperformed traditional machine learning models
in various classification tasks, including image classification. As such, they have become …

Nowadays, deep learning is becoming increasingly important in our daily life. The
appearance of deep learning in many applications in life relates to prediction and …