Current developments in object tracking and detection techniques have directed remarkable
improvements in distinguishing attacks and adversaries. Nevertheless, adversarial attacks …

Biometric de-identification is an emerging topic of research within the information security
domain that integrates privacy considerations with biometric system development. A …

Automatic decision-making, especially when dealing with crucial cybersecurity and privacy
issues, has become one of the key directions in digital identity research. Trustworthy human …

Facial images are widely adopted for computer vision tasks such as face recognition or
attribute classifications. Consequently, the adoption of mass real facial images leads to …

Person de-identification has become a challenging problem that is receiving substantial
attention because of the growing demand for privacy protection and related regulations. In …

Although the current face de-recognition algorithm can effectively protect the user's identity,
it will change the original attributes of the image, destroy the visual effect, or change the …

Computer vision offers many techniques to facilitate the extraction of semantic information
from images. If the images include persons, preservation of privacy in computer vision …

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 …

Social media is rapidly growing through platforms that provide live-streaming service, video
sharing service, etc. But, as the social media grows, the cases where faces of people in the …

Gait and face are the two major biometric features that need to be de-identified to preserve
the privacy of an individual and conceal his/her identity. Unlike face de-identification, no …