This work presents a study on the effects of aging on the performance and reliability of facial
authentication methods. First, a brief review of the literature on the effect of age on face …

Federated Adversarial Learning (FAL) maintains the decentralization of adversarial training
for data-driven innovations while allowing the collaborative training of a common model to …

This paper presents a comprehensive analysis of the security aspects of the InsightFace
project (a popular open-source face recognition system) focusing on its susceptibility to …

Mobile face recognition has become increasingly important, especially during the COVID-19
pandemic when the use of masks has become ubiquitous. The area that can be analyzed for …

Robust authentication for low-power consumer devices such as doorbell cameras poses a
valuable and unique challenge. This work explores the effect of age and aging on the …

An overview is given of the DAVID Smart-Toy platform, one of the first Edge-AI platform
designs to incorporate advanced low-power data processing by neural inference models co …

This document details the implementation of software specialized in determining the
orientation of the human face in color images. To achieve this, the deep learning …

A new era of linked devices has been brought about by the Internet of Things (IoT)
revolution, and these devices heavily rely on AI to enable their increased functioning. There …