What will the future be? We wonder! In this survey, we explore the gap between current
research in egocentric vision and the ever-anticipated future, where wearable computing …

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 …

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 …

Despite the rapid growth and advancement in the Internet of Things (IoT), there are critical
challenges that need to be addressed before the full adoption of the IoT. Data privacy is one …

The emergence of camera-based assistive technologies has empowered people with visual
impairments (VIP) to obtain independence in their daily lives. Popular services feature …

Items in social media such as photos may be co-owned by multiple users, ie, the sharing
decisions of the ones who upload them have the potential to harm the privacy of the others …

Current collaborative photo privacy protection solutions can be categorized into two
approaches: controlling the recipient, which restricts certain viewers' access to the photo …

Image-based localization is a core component of many augmented/mixed reality (AR/MR)
and autonomous robotic systems. Current localization systems rely on the persistent storage …

Computer vision can lead to privacy issues such as unauthorized disclosure of private
information and identity theft, but it may also be used to preserve user privacy. For example …

We present a set of design fiction proposals related to sensing and tracking technologies,
inspired by the 2013 science fiction novel The Circle. By creating design proposals that …