IEEE

Robust Few-Shot Malware Detection in IoT via Adversarial Contrastive Learning on Heterogeneous Behavior Graphs

Abstract: The proliferation of IoT devices has expanded the attack surface for sophisticated, polymorphic malware. Traditional Intrusion Detection Systems (IDS) and standard Graph Neural Networks ...

Fake Paysafe, Skrill SDKs on NPM and PyPi steal credentials

Malicious packages on the Node Package Manager (npm) and the Python Package Index (PyPI) delivered stealer malware to ...
techtimes

Stealth Marketing Targets ChatGPT: Reddit AI Flags 25,000 Poisoned Posts Daily

Illustration taken in Frankfurt am Main, western Germany, on January 22, 2026, shows the logo of US social news aggregations Reddit on a smartphone screen and Reddit logo on a laptop screen. Kirill ...
https//beincrypto.com

Crypto Forensics Got Smarter, But AI Scammers Got There First

Blockchain forensics tools have recovered an estimated $34 billion and are used by 45+ regulators as detection has genuinely improved. Yet 2025 crypto scam losses hit roughly $17 billion, with ...
IEEE

Understand and Detect: Lithographic Hotspot Detection by the Interpretable Graph Attention Network

Abstract: Lithography hotspot detection plays a crucial role in the design-for-manufacturing (DFM) process. Recent developments in machine learning have demonstrated significant advantages in ...