Collecting large-scale datasets is crucial for training deep models, annotating the data,
however, inevitably yields noisy labels, which poses challenges to deep learning algorithms …

Recently, productization of face recognition and identification algorithms have become the
most controversial topic about ethical AI. As new policies around digital identities are …

Vision is the most important sense for people, and it is also one of the main ways of
cognition. As a result, people tend to utilize visual content to capture and share their life …

While diffusion models have recently demonstrated remarkable progress in generating
realistic images, privacy risks also arise: published models or APIs could generate training …

Deidentification seeks to anonymize textual data prior to distribution. Automatic
deidentification primarily uses supervised named entity recognition from human-labeled …

The lateral injection of air and pulverised coal in the lower regions of a blast furnace is
experimentally represented by the lateral inlet of gas–powder through a tuyere which …

Privacy-preserving machine learning (PPML) techniques have allowed remote and private
inference for resource-constrained internet-of-things (IoT) devices on the cloud. The main …

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 …

Objective The significant increase in the number of COVID-19 publications, on the one hand,
and the strategic importance of this subject area for research and treatment systems in the …