Abstract: Machine learning-based Android malware detection has consistently demonstrated superior results. However, with the continual evolution of the Android framework, the efficacy of the deployed ...

Abstract: Large language models (LLMs) have emerged as a promising tool for detecting code vulnerabilities, potentially offering advantages over traditional rule-based methods. This paper proposes an ...

A pilot-mode AI agent orchestration system that coordinates planner → coder → verifier → reviewer workflows over LM Studio / OpenAI-compatible APIs. Features structured tools, permissions, skills, ...