IEEE

AAG: Adversarial Attack Generator for evaluating the robustness of Machine Learning Models against Adversarial Attacks

Abstract: With the ongoing integration of machine learning models into critical infrastructure, the resilience of these systems against adversarial attacks is important for all domains. This paper ...
United States Army

Army establishes new AI, machine learning career path for officers

The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), ...
Devdiscourse

Adversarial attacks hit financial AI twice as hard during economic stress

The study, titled Conditional Adversarial Fragility in Financial Machine Learning under Macroeconomic Stress, published as a ...
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 ...
Washington Examiner

Pentagon technology chief focused on far powers while administration prioritizes western hemisphere

The Pentagon’s head of research and engineering is focused on the most advanced threats facing the United States, rather than those closest to America’s shores. Emil Michael, the undersecretary of war ...
IEEE

Game Theoretic Mixed Experts for Combinational Adversarial Machine Learning

Abstract: Recent advances in adversarial machine learning have shown that defenses previously considered robust are actually susceptible to adversarial attacks which are specifically customized to ...