Nature

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

In today’s day and age, the increased digitization of day-to-day operations across organizations and the promotion of Bring Your Own Device (BYOD) and work from home initiatives create an ...
BIOENGINEER

Fuzzy autoencoder improves containment of adversarial malware

A fuzzy autoencoder classified none of 10,000 adversarially generated executable samples as legitimate and reached a reported ...
BIOENGINEER

Machine learning spots RISC-V hardware attacks from processor performance counters

Researchers built the first public RISC-V dataset combining hardware performance counters with instruction traces and showed ...
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 ...
Military

AI and machine learning take center stage in electronic warfare

AI and machine learning are revolutionizing electronic warfare by enabling autonomous threat detection, rapid adaptive countermeasures, and real-time decision-making, significantly enhancing ...