In the brief history of AI security, the prompt injection has quickly become the top threat. Large language models are ...

A stealthy Python-based backdoor framework capable of long-term surveillance and credential theft has been identified targeting Windows systems. According to research from Securonix, the malware, ...

Abstract: Most existing outlier detection methods rely on a single and fine-grained data representation, making them vulnerable to noise and inefficient in capturing local anomalies. Granular-ball ...

Abstract: Outlier detection is an effective technique for identifying abnormal samples in complex data. Random walks effectively detect outliers by analyzing graph transition patterns. However, ...

Trump says he is 'entitled' to 'normal' timeline after court expedites briefing schedule in E Jean Carroll demand for long-owed $5M Paul McCartney played 'I want to hold your hand' at Taylor Swift's ...

We propose a framework that combines a complex network approach with visibility graph algorithms. First, a comprehensive financial stress index (FSI) for China is constructed by integrating ...

Step 1 I got a students dataset from Kaggle and imported it into Jupyter. Then I verified the data by checking .shape, .info(), and .head() to confirm rows, columns, and sample records. Step 2 I ...

PyOD is a comprehensive and scalable Python toolkit for detecting outlying objects in multivariate data. This exciting yet challenging field is commonly referred as Outlier Detection or Anomaly ...

Joe Grantham is a contributor from the UK with a degree in Classical Studies. His love for gaming is only rivaled by a deep passion for medieval history, which often seeps into his articles. With over ...