Abstract: Debugging and operating services always benefit from logs. Since logs provide rich information on events and render comprehensive execution traces, it is imperative to automatically detect ...
Cybersecurity researchers have discovered a critical "by design" weakness in the Model Context Protocol's (MCP) architecture ...
Abstract: Autoencoder (AE) is extensively utilized in hyperspectral anomaly detection (HAD) tasks owing to its robust feature extraction and image reconstruction capabilities. However, AE lacks ...
face-mask-detection/ ├── dataset/ │ ├── with_mask/ # Training images with masks │ └── without_mask/ # Training images without masks ├── model/ │ ├── mask_detector.h5 # Trained model (generated) │ └── ...
We propose EAGLE, a tuning-free framework for anomaly detection. The framework comprises two core components: (1) a PatchCore-based expert model that performs preliminary anomaly detection and ...
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