The success of deep learning based face recognition systems has given rise to serious
privacy concerns due to their ability to enable unauthorized tracking of users in the digital …

There is growing concern about image privacy due to the popularity of social media and
photo devices, along with increasing use of face recognition systems. However, established …

Face anonymization with generative models have become increasingly prevalent since they
sanitize private information by generating virtual face images, ensuring both privacy and …

The rapid adoption of facial recognition (FR) technology by both government and
commercial entities in recent years has raised concerns about civil liberties and privacy. In …

Deep learning (DL)-based algorithms have demonstrated remarkable results in potentially
improving the performance and the efficiency of healthcare applications. Since the data …

The widespread use of image acquisition technologies, along with advances in facial
recognition, has raised serious privacy concerns. Face de-identification usually refers to the …

Machine Learning (ML) has achieved enormous success in solving a variety of problems in
computer vision, speech recognition, object detection, to name a few. The principal reason …

Thermal cameras can be used to detect user input on interfaces, such as touchscreens,
keyboards, and PIN pads, by recording the heat traces left by the users' fingers after …

Recent advancements in artificial intelligence promise ample potential in monitoring
applications with surveillance cameras. However, concerns about privacy and model bias …

As machine and deep learning spread across diverse aspects of our society, the concerns
about the privacy of the data are getting stronger, particularly in scenarios where sensitive …