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 …

Biometric recognition technology has made significant advances over the last decade and is
now used across a number of services and applications. However, this widespread …

To achieve automatic recommendation of privacy settings for image sharing, a new tool
called iPrivacy (image privacy) is developed for releasing the burden from users on setting …

To configure successful privacy settings for social image sharing, two issues are
inseparable: 1) content sensitiveness of the images being shared; and 2) trustworthiness of …

We study detection of cyberbullying in photosharing networks, with an eye on developing
earlywarning mechanisms for the prediction of posted images vulnerable to attacks. Given …

The concerns on visual privacy have been increasingly raised along with the dramatic
growth in image and video capture and sharing. Meanwhile, with the recent breakthrough in …

We introduce the first visual privacy dataset originating from people who are blind in order to
better understand their privacy disclosures and to encourage the development of algorithms …

The last decades have seen a growing interest and demand for community-centered
collaborative systems and platforms. These systems and platforms aim to provide an …

Many cloud platforms emerge to meet urgent requirements for large-volume personal image
store, sharing and search. Though most would agree that images contain rich sensitive …

Images convey a broad spectrum of personal information. If such images are shared on
social media platforms, this personal information is leaked which conflicts with the privacy of …