Prompt-Guided Environmentally Consistent Adversarial Patch
CoRRAdversarial attacks in the physical world pose a significant threat to the security of vision-based systems, such as facial recognition and autonomous driving. Existing adversarial patch methods primarily focus on improving attack performance, but they often produce patches that are easily detectable by humans and struggle to achieve environmental ...
Chaoqun Li +5 more
openaire +2 more sources
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
Universal attention guided adversarial defense using feature pyramid and non-local mechanisms
Scientific ReportsDeep Neural Networks (DNNs) have been shown to be vulnerable to adversarial examples, significantly hindering the development of deep learning technologies in high-security domains. A key challenge is that current defense methods often lack universality,
Jiawei Zhao +6 more
doaj +1 more source
Water Resources Research, Volume 62, Issue 7, July 2026.Abstract Accurate three‐dimensional (3D) lake bathymetry reconstruction is critical for water resources assessment and hydrological modeling yet remains constrained by data scarcity and oversimplified geometric assumptions. To address these challenges, we propose the Geomorphologically informed deep learning (GIDL) framework for high‐resolution 3D lake
Minglei Hou +7 more
wiley +1 more source
Cycle Consistent Generative Motion Artifact Correction in Coronary Computed Tomography Angiography
Applied SciencesIn coronary computed tomography angiography (CCTA), motion artifacts due to heartbeats can obscure coronary artery diagnoses. In this study, we introduce a cycle-consistent adversarial-network-based method for motion artifact correction in CCTA.
Amal Muhammad Saleem +3 more
doaj +1 more source
Patch is enough: naturalistic adversarial patch against vision-language pre-training models
Visual IntelligenceVisual language pre-training (VLP) models have demonstrated significant success in various domains, but they remain vulnerable to adversarial attacks. Addressing these adversarial vulnerabilities is crucial for enhancing security in multi-modal learning.
Dehong Kong +4 more
doaj +1 more source
Universal and transferable attacks on pathology foundation models using microscopic perturbations. [PDF]
Light Sci ApplWang Y +5 more
europepmc +1 more source
How the Architectural Design of the Detection Model Can Enhance the Effect of Adversarial Patches
Proceedings of the International Florida Artificial Intelligence Research Society ConferenceObject detection is a central task in computer vision, with wide adoption in real-world applications such as surveillance systems, autonomous driving, healthcare monitoring, and smart devices.
Terrelle Thomas +3 more
doaj
Evaluating the Adversarial Robustness and Clinical Safety of Quantized Hierarchical Transformers for Edge-Based Malaria Microscopy. [PDF]
Sensors (Basel)Hasan U, Alghamdi TG, Nayeem MA.
europepmc +1 more source
Histopathological Assessment of Myocardial Ischemia-Reperfusion Injury Using Transformer-Based Artificial Intelligence: Model Comparison Study. [PDF]
JMIR Med InformLiu C, Xu M, Lv Y, Zhu Z, Pan Y, Wang Y.
europepmc +1 more source