Abstract: The integration of machine learning (ML) has revolutionized malware detection, enabling accurate identification of subtle distinctions between malware and benignware. As the threat landscape ...
Experimental - This project is still in development, and not ready for the prime time. A minimal, secure Python interpreter written in Rust for use by AI. Monty avoids the cost, latency, complexity ...
Abstract: Binary code analysis is essential in modern cybersecurity, examining compiled program outputs to identify vulnerabilities, detect malware, and ensure software security compliance. However, ...
🔍 Rethinking Unified Models: We identify two critical limitations in existing unified multi-person eyeblink detection models: (1) feature granularity conflict between face localization and eyeblink ...
The realm of online financial speculation is teeming with platforms, each promising access to the global markets. However, in an arena defined by speed and risk, mere functionality is insufficient. A ...
While you might already have a great upright vacuum for your carpets — and maybe even lightweight cordless vacuum in your closet — a robot vacuum is probably one home appliance you may have hesitated ...
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