Microsoft

Infostealers without borders: macOS, Python stealers, and platform abuse

How modern infostealers target macOS systems, leverage Python‑based stealers, and abuse trusted platforms and utilities to ...
GitHub

Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection

07.2025: Dinomaly has been integrated in Intel open-edge Anomalib in v2.1.0. Great thanks to the contributors for the nice reproduction and integration. Anomalib is a comprehensive library for ...
IEEE

MMM: A Unified Weakly-Supervised Anomaly Detection Framework for Multi-Distributional Data

Abstract: Weakly-Supervised Anomaly Detection (WSAD) has garnered increasing research interest in recent years, as it enables superior detection performance while demanding only a small fraction of ...
GitHub

Code for "Transient Distortions of the South Atlantic Anomaly Radiation Environments Driven by Electric Fields"

Authors: Ze-Fan Yin et al. The codes conduct test-particle simulations in an eccentric dipole magnetic field to reproduce the main results and figures presented in the paper. Note: Source codes and ...
IEEE

Detectability Driven Recommendation of Anomaly Detection Models for Time-Series Data

Abstract: Anomaly detection for time-series data has been viewed widely in many practical applications and caused lots of research interests. A popular solution based on deep learning techniques is ...