Auto encoder-based defense mechanism against popular adversarial attacks in deep learning. [PDF]
PLoS OneAshraf SN, Siddiqi R, Farooq H.
europepmc +1 more source
Risk‐aware autonomous search and rescue with multiagent reinforcement learning
Risk Analysis, EarlyView.Abstract Autonomous navigation in dynamic high‐consequence environments, such as search and rescue (SAR) missions, often relies on multiagent robotic systems that need to learn and adapt to changing conditions. Adversarial risks can introduce further challenges in such a setting where an autonomous agent may exhibit deviations in their learned actions ...
Aowabin Rahman +4 more
wiley +1 more source
How Will AI Shape the Future of Pandemic Response? Early Clues From Data Analytics
Risk Analysis, EarlyView.ABSTRACT The COVID‐19 pandemic has exposed critical gaps in our management of systemic risks within complex, interconnected systems. This review examines 10 key areas where artificial intelligence (AI) and data analytics can significantly enhance pandemic preparedness, response, and recovery.
Benjamin D. Trump +3 more
wiley +1 more source
Predicting Progression From Mild Cognitive Impairment to Alzheimer's Dementia With Adversarial Attacks. [PDF]
IEEE J Biomed Health InformBaytas IM.
europepmc +1 more source
Veterinary Clinical Pathology, EarlyView.Abstract Artificial intelligence (AI) is emerging as a valuable diagnostic tool in veterinary medicine, offering affordable and accessible tests that can match or even exceed the performance of medical professionals in similar tasks. Despite the promising outcomes of using AI systems (AIS) as highly accurate diagnostic tools, the field of quality ...
Christina Pacholec +3 more
wiley +1 more source
Artificial intelligence in blood donor management: A narrative review
Vox Sanguinis, EarlyView.Abstract Blood transfusions are vital in health care, yet maintaining an adequate and safe blood supply remains a significant challenge. To address blood donation–associated challenges, this review explores how integrating artificial intelligence (AI) technologies can improve donor recruitment, retention and management.
Maha A. Badawi
wiley +1 more source
Defense against adversarial attacks: robust and efficient compressed optimized neural networks. [PDF]
Sci RepKraidia I, Ghenai A, Belhaouari SB.
europepmc +1 more source
InfoShadow: NTK & MI guided adversarial attacks on speaker identification systems
Ruixin Song +4 more
openalex +1 more source
A cybersecurity risk analysis framework for systems with artificial intelligence components
International Transactions in Operational Research, Volume 33, Issue 2, Page 798-825, March 2026.Abstract The introduction of the European Union Artificial Intelligence (AI) Act, the NIST AI Risk Management Framework, and related international norms and policy documents demand a better understanding and implementation of novel risk analysis issues when facing systems with AI components: dealing with new AI‐related impacts; incorporating AI‐based ...
J.M. Camacho +3 more
wiley +1 more source
Three-Dimensional Reconstruction Pre-Training as a Prior to Improve Robustness to Adversarial Attacks and Spurious Correlation. [PDF]
Entropy (Basel)Yamada Y +3 more
europepmc +1 more source