Nature

Machine Learning Techniques for Android Malware Detection articles from across Nature Portfolio

Malware analysis in modern cybersecurity increasingly requires decisions at multiple levels of granularity, including maliciousness detection, malware family ...
BIOENGINEER

Fully Convolutional Network With Layer-Wise Fine-Tuning Detects Malware Families With Over 99% Accuracy

A fully convolutional network with layer-wise fine-tuning classifies malware families with over 99% accuracy across three ...
Security Boulevard

AI Threat Detection: How It Works and Why Response Matters

How It Works and Why Response Matters Kevin Mata 8 Minute Read Share on EmailShare on X (Twitter)Share on FacebookShare on LinkedIn AI Threat Detection: How It Works and Why Response Matters AI ...
Infosecurity-magazine.com

Malicious Machine Learning Model Attack Discovered on PyPI

A new campaign exploiting machine learning (ML) models via the Python Package Index (PyPI) has been observed by cybersecurity researchers. ReversingLabs said threat actors are using the Pickle file ...