Animesh Shaw
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The paper introduces Quantum-Safe Code Auditor, a novel static analysis framework that uses LLMs and quantum-aware risk scoring to automatically detect and prioritize quantum-vulnerable cryptographic usage in large codebases.
The paper introduces 'quantum-safe,' a Python library that addresses the remaining 'production gap' in post-quantum cryptography (PQC) by providing robust, easy-to-use hybrid implementations and comprehensive performance and side-channel analysis.
Papers
quantum-safe: Bridging the Post-Quantum Production Gap with a Hybrid-by-Default Python Cryptography Library
The paper introduces 'quantum-safe,' a Python library that addresses the remaining 'production gap' in post-quantum cryptography (PQC) by providing robust, easy-to-use hybrid implementations and compr…