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 ...
This is the official code to reproduce the experiments in the paper AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2, accepted at IEEE/CVF Winter Conference on Applications of ...
The GlassWorm supply-chain campaign has returned with a new, coordinated attack that targeted hundreds of packages, repositories, and extensions on GitHub, npm, and VSCode/OpenVSX extensions. Evidence ...
In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...
Have you ever found yourself wrestling with Excel formulas, wishing for a more powerful tool to handle your data? Or maybe you’ve heard the buzz about Python in Excel and wondered if it’s truly the ...
This repository contains the code implementation for the ICSE SEIP 2025 paper titled "Anomaly Detection in Large-Scale Cloud Systems: An Industry Case and Dataset." The preprint for the paper is ...
OpenAI has disrupted over 20 malicious cyber operations abusing its AI-powered chatbot, ChatGPT, for debugging and developing malware, spreading misinformation, evading detection, and conducting spear ...
Get Code Download If you have a set of data items, the goal of anomaly detection is to find items that are different in some way from most of the items. Anomaly detection is sometimes called outlier ...
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