Tag: robustness

Fed-DATrust is a cross-stage risk-coordination framework that improves the reliability of federated multimodal learning for disaster damage assessment.

Three years of sensor and profile data from an Alpine lake showed that monthly oxygen sampling captures broad seasonal patterns ...

A lightweight Fourier-enhanced neural network outperformed competing detectors on images from an unseen generative model while localizing manipulated regions, according ...

A new entropy-guided framework prunes up to 95 percent of Wi-Fi access points from indoor positioning fingerprints while preserving accuracy ...

The race to build quantum computers has long been framed as a distant threat, but cryptographers now treat it as ...

A new RGB-depth salient object detection framework combines multi-level attention-based feature fusion with a WebP compression and denoising defense that ...

A German research team has shown that a GLM-based residualization method removes age confounding from MRI-based Alzheimer's classifiers far more ...

Researchers in Japan have developed a communication-free shepherding algorithm that lets multiple steering agents guide passive flocks using only local ...

The practical significance of the RECE approach becomes clearer when viewed against the broader economics of dataset construction. Annotating large ...

A systematic review and controlled validation of deep learning-based Android malware detection reveals that high benchmark accuracy masks architecture-dependent reliability ...