[HTML][HTML] Privacy-preserving artificial intelligence in healthcare: Techniques and applications
There has been an increasing interest in translating artificial intelligence (AI) research into
clinically-validated applications to improve the performance, capacity, and efficacy of …
clinically-validated applications to improve the performance, capacity, and efficacy of …
Navigating the Ethical Challenges of Artificial Intelligence in Higher Education: An Analysis of Seven Global AI Ethics Policies.
Z Slimi, BV Carballido - TEM Journal, 2023 - ceeol.com
AI use in higher education raises ethical concerns that must be addressed. Biased
algorithms pose a significant threat, especially if used in admission or grading processes, as …
algorithms pose a significant threat, especially if used in admission or grading processes, as …
[HTML][HTML] A systematic review of trustworthy artificial intelligence applications in natural disasters
Artificial intelligence (AI) holds significant promise for advancing natural disaster
management through the use of predictive models that analyze extensive datasets, identify …
management through the use of predictive models that analyze extensive datasets, identify …
Implications of Emotion Recognition Technologies: Balancing Privacy and Public Safety
LF Ortiz-Clavijo, CJ Gallego-Duque… - IEEE Technology …, 2023 - ieeexplore.ieee.org
As our world becomes increasingly interconnected, technology continues to evolve at an
unprecedented pace. One of the most intriguing advancements in recent years is the …
unprecedented pace. One of the most intriguing advancements in recent years is the …
[HTML][HTML] Con-detect: Detecting adversarially perturbed natural language inputs to deep classifiers through holistic analysis
Deep Learning (DL) algorithms have shown wonders in many Natural Language Processing
(NLP) tasks such as language-to-language translation, spam filtering, fake-news detection …
(NLP) tasks such as language-to-language translation, spam filtering, fake-news detection …
Membership Inference Attacks on DNNs using Adversarial Perturbations
Several membership inference (MI) attacks have been proposed to audit a target DNN.
Given a set of subjects, MI attacks tell which subjects the target DNN has seen during …
Given a set of subjects, MI attacks tell which subjects the target DNN has seen during …
Consistent Valid Physically-Realizable Adversarial Attack Against Crowd-Flow Prediction Models
Recent works have shown that deep learning (DL) models can effectively learn city-wide
crowd-flow patterns, which can be used for more effective urban planning and smart city …
crowd-flow patterns, which can be used for more effective urban planning and smart city …
Getting Smarter with Fatrix: A Facial Recognition Access Control System
AM Ayub, R Kolandaisamy… - 2023 IEEE 3rd …, 2023 - ieeexplore.ieee.org
The Library of private university has an RFID access control system. Such systems are
popular door-entry solutions that can manage access in and within buildings and …
popular door-entry solutions that can manage access in and within buildings and …
Bio-Inspired Hyperparameter Tuning of Federated Learning for Student Activity Recognition in Online Exam Environment
R Shankarappa, N Prasad, RMR Guddeti, BR Mohan - AI, 2024 - mdpi.com
Nowadays, online examination (exam in short) platforms are becoming more popular,
demanding strong security measures for digital learning environments. This includes …
demanding strong security measures for digital learning environments. This includes …
Toward Secure TinyML on a Standardized AI Architecture
Recently, ML tasks that have been traditionally associated with high-performance CPUs and
GPUs have started to be performed also on highly constrained devices at the far edge. This …
GPUs have started to be performed also on highly constrained devices at the far edge. This …