The newly emerged machine learning (eg, deep learning) methods have become a strong
driving force to revolutionize a wide range of industries, such as smart healthcare, financial …

The need for remote tools for healthcare monitoring has never been more apparent. Camera
measurement of vital signs leverages imaging devices to compute physiological changes by …

Recent advances in Deep Neural Networks (DNNs) have led to the development of DNN-
driven autonomous cars that, using sensors like camera, LiDAR, etc., can drive without any …

We demonstrate that modern image recognition methods based on artificial neural networks
can recover hidden information from images protected by various forms of obfuscation. The …

Image anonymization is widely adapted in practice to comply with privacy regulations in
many regions. However, anonymization often degrades the quality of the data, reducing its …

With an increasing number of users sharing information online, privacy implications entailing
such actions are a major concern. For explicit content, such as user profile or GPS data …

As billions of personal data being shared through social media and network, the data
privacy and security have drawn an increasing attention. Several attempts have been made …

Users like sharing personal photos with others through social media. At the same time, they
might want to make automatic identification in such photos difficult or even impossible …

A brain–computer interface (BCI) establishes a direct communication pathway between the
human brain and a computer. It has been widely used in medical diagnosis, rehabilitation …

Due to the increasing usage of machine learning (ML) techniques in security-and safety-
critical domains, such as autonomous systems and medical diagnosis, ensuring correct …