IEEE

Attack as Defense: Proactive Adversarial Multi-Modal Learning to Evade Retrieval

Abstract: With growing concerns about information security, protecting the privacy of user-sensitive data has become crucial. The rapid development of multi-modal retrieval technologies poses new ...
Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
IEEE

Defending AI Models Against Adversarial Attacks in Smart Grids Using Deep Learning

Abstract: Adversarial attacks involve manipulating data to trick Artificial Intelligence (AI) models, making false predictions or classifications or even disrupting the normal functions of the smart ...