Healthcare claims often fail due to small data errors. Mukesh Kumar Mishra has built cloud-based validation and anomaly ...

Abstract: This paper presents LogiCode, a novel framework that leverages Large Language Models (LLMs) for identifying logical anomalies in industrial settings, moving beyond the traditional focus on ...

'That value is an outlier, so let's exclude it.' This is a phrase heard repeatedly in data analysis. However, most practitioners remain vague about the criteria used to determine what constitutes an ...

ADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph data, image data, and video data.

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 ...

As if the Miasma situation weren't bad enough, now this weapon is spreading like wildfire. Someone open sourced the entire Miasma worm supply-chain attack toolkit, likely using previously compromised ...