A novel attack exploited machine learning models on PyPI, using zipped Pickle files to deliver infostealer malware ...

a domain where conventional machine learning approaches fail. Unlike many previous methods, the model is trained on real-world data instead of simulations. “It sets a precedent for using real, scarce ...

With the help of machine learning, a type of artificial intelligence that uses algorithms to learn from sets of information and draw conclusions from patterns found in that data, the model was ...

Microsoft has discovered a new remote access trojan (RAT) that employs "sophisticated techniques" to avoid detection, maintain persistence, and extract sensitive data. While the malware (dubbed ...

This review discusses the current state of multicancer early detection tests ... Once these biomarkers are identified, machine learning algorithms analyze the data to distinguish cancerous signals ...

A new malware called FinalDraft has been ... static analysis by performing API hashing and using string encryption. FinalDraft is used for data exfiltration and process injection.

Oxford University researchers have unveiled a new blood test, powered by machine learning, that shows promise ... invasive alternative to current detection methods. The study, published in Nature ...

This project utilizes machine learning techniques to build a robust malware detection system capable of analyzing files ... to ensure consistency and includes features extracted using static and ...

There are several techniques that can be used for anomaly detection. This article explains how to perform anomaly detection using LightGBM. LightGBM (lightweight gradient boosting machine ... there ...