Breakdown of the Trivy GitHub Actions attack, including workflow misconfigurations, token theft, and supply chain exposure.

Abstract: Accurate anomaly detection is crucial for the reliability of microservice systems. However, most existing anomaly detection approaches only detect deviations from the global expected ...

Automation that actually understands your homelab.

face-mask-detection/ ├── dataset/ │ ├── with_mask/ # Training images with masks │ └── without_mask/ # Training images without masks ├── model/ │ ├── mask_detector.h5 # Trained model (generated) │ └── ...

A beautiful real-time terminal monitoring tool for Claude AI token usage with advanced analytics, machine learning-based predictions, and Rich UI. Track your token consumption, burn rate, cost ...

GitHub is adopting AI-based scanning for its Code Security tool to expand vulnerability detections beyond the CodeQL static analysis and cover more languages and frameworks. The developer ...

Abstract: Anomaly detection (AD) in medical applications is a promising field, offering a cost-effective alternative to labor-intensive abnormal data collection and labeling. However, the success of ...