Results 121 to 130 of about 6,497 (247)
Western Balkans as the Frontline of Russian Hybrid Warfare
ABSTRACT Hybrid warfare (HW) scholarship acknowledges the phenomenon's contextual and temporal specificity, yet its dominant conceptual framing has generated a literature largely centred on identifying and categorising hybrid activities. This focus has left the contextual vulnerabilities that enable hybrid threats (HTs) and shape an adversary's ...
Vesna Bojicic‐Dzelilovic
wiley +1 more source
ELAA: An Ensemble-Learning-Based Adversarial Attack Targeting Image-Classification Model. [PDF]
Fu Z, Cui X.
europepmc +1 more source
ABSTRACT Canada's rapidly evolving demographic landscape presents Canadian accounting firms and practitioners with both an imperative and an opportunity to employ diverse accounting professionals—yet despite widespread adoption of diversity, equity, and inclusion (DEI) initiatives, a persistent gap exists between stated commitments and realized ...
Narjis F. Karani, Charles H. Cho
wiley +1 more source
Traffic adversarial example attack and defense method based on explainable artificial intelligence
An adversarial example attack method based on XAI was proposed for AI-based NIDS. By identifying critical perturbation features with XAI and applying targeted perturbations while preserving traffic functionality, malicious traffic was gradually altered ...
MA Bowen +4 more
doaj
SAR Image Ship Target Detection Adversarial Attack and Defence Generalization Research. [PDF]
Gao W, Liu Y, Zeng Y, Liu Q, Li Q.
europepmc +1 more source
ABSTRACT Many controversies in medical ethics, particularly those involving conflicts between parents and medical staff over decisions about child patients, are challenging to manage without causing significant polarization and communication issues. This is primarily because the parties involved—parents and physicians—operate at different epistemic ...
Chiara Innorta
wiley +1 more source
The Threat of Adversarial Attack on a COVID-19 CT Image-Based Deep Learning System. [PDF]
Li Y, Liu S.
europepmc +1 more source
Digital Watermarking as an Adversarial Attack on Medical Image Analysis with Deep Learning. [PDF]
Apostolidis KD, Papakostas GA.
europepmc +1 more source
Visualizing Image Segmentation Network Behavior Through the Lens of Scale Space Analysis
Abstract Deep neural networks are widely used for image segmentation, also in sensitive applications such as medical imaging or autonomous driving. However, few explainable AI methods are available that help developers understand such networks beyond classification.
A. C. Mikliss, T. Schultz
wiley +1 more source
Breaking and Healing: GAN-Based Adversarial Attacks and Post-Adversarial Recovery for 5G IDSs
Generative adversarial networks (GANs) have advanced rapidly in data augmentation and generation, and researchers have been exploring their applications in other areas, including adversarial attack generation.
Yasmeen Alslman +2 more
doaj +1 more source

