Regularization Meets Enhanced Multi-Stage Fusion Features: Making CNN More Robust against White-Box Adversarial Attacks. [PDF]
Sensors (Basel), 2022 Zhang J, Maeda K, Ogawa T, Haseyama M.
europepmc +1 more source
Red‐Pi: A Low‐Cost Red Teaming Platform for Water Infrastructure Security Assessment
SECURITY AND PRIVACY, Volume 9, Issue 4, July/August 2026.ABSTRACT The water and wastewater sector faces growing cyber threats due to rapid digitalization and the use of IoT‐based control systems. Many utilities manage essential services that affect public health and the environment but do not have enough cybersecurity staff and cannot afford regular security tests.
Agustin Di Bartolo +5 more
wiley +1 more source
Tailoring adversarial attacks on deep neural networks for targeted class manipulation using DeepFool algorithm. [PDF]
Sci RepLabib SMFR +4 more
europepmc +1 more source
Universal adversarial attacks on deep neural networks for medical image classification. [PDF]
BMC Med Imaging, 2021 Hirano H, Minagi A, Takemoto K.
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British Journal of Social Psychology, Volume 65, Issue 3, July 2026.Abstract Intergroup contact is one of the most established approaches for improving relations between adversary groups in conflict settings; yet little is known about whether its effects might be shaped by the social context. In this paper, we examine whether pre‐war contact opportunity with the adversary group shapes the relationship between post‐war ...
Zaur Afandiyev +3 more
wiley +1 more source
Highly Accurate Adaptive Federated Forests Based on Resistance to Adversarial Attacks in Wireless Traffic Prediction. [PDF]
Sensors (Basel)Wang L +7 more
europepmc +1 more source
Transformation-Dependent Adversarial Attacks
We introduce transformation-dependent adversarial attacks, a new class of threats where a single additive perturbation can trigger diverse, controllable mis-predictions by systematically transforming the input (e.g., scaling, blurring, compression ...
Tan, Yaoteng +2 more
core
Building centaur responders: is emergency management ready for artificial intelligence?
Disasters, Volume 50, Issue 3, July 2026.Abstract This article examines the preparedness of emergency management (EM) for addressing questions pertaining to artificial intelligence (AI), encompassing its benefits to EM missions, the potential biases, the societal impacts, and more. We pinpoint two key shortcomings in early EM research on AI: (i) insufficient discussion of both AI's history ...
Christopher Whyte +1 more
wiley +1 more source
A multi-layered defense against adversarial attacks in brain tumor classification using ensemble adversarial training and feature squeezing. [PDF]
Sci RepYinusa A, Faezipour M.
europepmc +1 more source
Channel Attention for Fire and Smoke Detection: Impact of Augmentation, Color Spaces, and Adversarial Attacks. [PDF]
Sensors (Basel)Ejaz U, Hamza MA, Kim HC.
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