IEEE

Supervised Learning Approaches in Android Malware Detection: Survey and Analysis

Abstract: The exponential growth of Android-based mobile applications has led to a parallel surge in sophisticated malware, necessitating more adaptive and intelligent detection strategies. While ...
Dark Reading

How Malware Authors Are Incorporating LLMs to Evade Detection

Cyberattackers integrate large language models (LLMs) into the malware, running prompts at runtime to evade detection and augment their code on demand.
IEEE

XChange: An Explainable Dynamic Convolutional Autoencoder for Unsupervised Change Detection

Abstract: Explainable artificial intelligence (XAI) approaches started to be studied in the last period to improve the interpretability of increasingly complex deep learning (DL) methods for remote ...

Amazon Is Using Specialized AI Agents for Deep Bug Hunting

Born out of an internal hackathon, Amazon’s Autonomous Threat Analysis system uses a variety of specialized AI agents to ...