CNET

Malware Has Gotten Smarter. Here's How Your Antivirus Has, Too

Antivirus software used to hunt for known malware, but now it’s predicting suspicious behavior before an attack fully lands.
Nature

Improving seismic fault detection through fault-balanced patch extraction and deep learning networks (UNet, Efficient-UNet, and VGG19-UNet)

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...
Frontiers

Early detection of brain pathologies through deep learning and advanced neuroimaging approaches

Recent advances in the field of medical imaging and computational neuroscience have transformed the landscape of brain pathology detection. The application ...

North Korea-Linked macOS Malware Uses Prompt Injection to Evade AI Analysis

SentinelOne says macOS.Gaslight uses prompt injection to mislead AI-based malware analysis, steal data, and use Telegram for ...

Clean GitHub repo tricks AI coding agents into running malware

An agentic coding tool tasked with cloning and setting up a seemingly benign GitHub repository could execute a malicious ...
Scientific Research Publishing

Deep Reinforcement Learning for Phishing Detection with Transformer-Based Semantic Features ()

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...
Bleeping Computer

WordPress malware campaign hides payloads in Steam profiles

Nearly 2,000 WordPress websites were infected with malware that relies on Steam Community profile comments to hide command-and-control (C2) data. The threat actor used invisible Unicode characters to ...
Nature

scMEDAL: interpretable single-cell transcriptomics analysis with batch effect visualization via deep mixed-effects autoencoder

Single-cell RNA sequencing enables high-resolution analysis of cellular heterogeneity, yet disentangling biological signal from batch effects remains challenging. Existing batch-correction algorithms ...
Mashable

Teenagers are using a $5 Minecraft malware called WeedHack to target and cyberbully victims

Minecraft is one of the most popular games on the planet. So, of course, that makes Minecraft players a prime target for hackers. In a new cybersecurity report, researchers from McAfee Labs describe ...