Results 121 to 130 of about 6,341 (246)

SAR Image Ship Target Detection Adversarial Attack and Defence Generalization Research. [PDF]

Sensors (Basel), 2023
Gao W, Liu Y, Zeng Y, Liu Q, Li Q.
europepmc   +1 more source

Visualizing Image Segmentation Network Behavior Through the Lens of Scale Space Analysis

Computer Graphics Forum, EarlyView.
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

The Threat of Adversarial Attack on a COVID-19 CT Image-Based Deep Learning System. [PDF]

Bioengineering (Basel), 2023
Li Y, Liu S.
europepmc   +1 more source

KNN-guided Adversarial Attacks [PDF]

, 2020
In the last decade, we have witnessed a renaissance of Deep Learning models. Nowadays, they are widely used in industrial as well as scientific fields, and noticeably, these models reached super-human per-formances on specific tasks such as image classification.
Massoli FV, Falchi F, Amato G
openaire   +1 more source

SPINE: VAE‐driven Counterfactuals for Decision Boundary Maps

Computer Graphics Forum, EarlyView.
Abstract As Deep Learning models become increasingly complex, Explainable AI becomes essential for deploying machine learning classifiers. Decision Boundary Mapping (DBM) is a technique for visualizing a classifier's global decision boundary. Despite their relative success, current DBM methods rely on global inverse multidimensional projections that ...
I.M. Bloemen, V. Prasad, F. V. Paulovich
wiley   +1 more source

Digital Watermarking as an Adversarial Attack on Medical Image Analysis with Deep Learning. [PDF]

J Imaging, 2022
Apostolidis KD, Papakostas GA.
europepmc   +1 more source

Geopoliticization and Support for Free Trade in the European Parliament: From Rhetorical Shift to Voting Results

JCMS: Journal of Common Market Studies, EarlyView.
Abstract Strategic and security considerations have become increasingly prominent in trade policy debates, fuelling both liberal and protectionist arguments. However, the extent to which this geopoliticization influences legislative trade attitudes in the European Parliament (EP) remains underexplored.
Lorane Visart
wiley   +1 more source

Breaking and Healing: GAN-Based Adversarial Attacks and Post-Adversarial Recovery for 5G IDSs

IEEE Access
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, Mouhammd Alkasassbeh, Mohammad J. Abdel-Rahman   +2 more
doaj   +1 more source

Untargeted white-box adversarial attack to break into deep leaning based COVID-19 monitoring face mask detection system. [PDF]

Multimed Tools Appl, 2023
Sheikh BUH, Zafar A.
europepmc   +1 more source

War as a Phenomenon of Inquiry in Management Studies

Journal of Management Studies, EarlyView.
Abstract We argue that war as a phenomenon deserves more focused attention in management. First, we highlight why war is an important and relevant area of inquiry for management scholars. We then integrate scattered conversations on war in management studies into a framework structured around three building blocks – (a) the nature of war from an ...
Fabrice Lumineau, Arne Keller
wiley   +1 more source