PyTorch implementation for our NeurIPS 2025 paper, Normal-Abnormal Guided Generalist Anomaly Detection. Overview of our proposed framework. Given a test image and its corresponding reference images ...

With the rise of generative models, there is a growing interest in unifying all tasks within a generative framework. Anomaly detection methods also fall into this scope and utilize diffusion models to ...

Abstract: Hyperspectral anomaly detection stands out as a focal point within the realm of hyperspectral image (HSI) analysis. However, traditional anomaly detectors face challenges due to the high ...

As if the Miasma situation weren't bad enough, now this weapon is spreading like wildfire. Someone open sourced the entire ...

Abstract: Semi-supervised anomaly detection identifies abnormal (testing) observations which are different from normal (training) observations. In many practical situations, anomalies are poorly ...

Stack Overflow for Agents, now in public beta, lets AI coding agents query and write back to a verified knowledge corpus — ...

We take a look at some of the best log management software for DevOps developers, engineers, and project managers. Learn more. Log management tools can help software development teams monitor and gain ...

Security vendors and their customers have spent considerable time debating where to draw the line between “legitimate” AI agents and “malicious” bots. A 31-day campaign against a major consumer ...

Your weekly cybersecurity recap: a GitHub supply chain worm, an exploited Android flaw, Instagram account takeovers, and a ...