Benchmarking Large Language Models for Cryptanalysis and Side-Channel Vulnerabilities 事件

Benchmarking Large Language Models for Cryptanalysis and Side-Channel Vulnerabilities arXiv:2505.24621v3 Announce Type: replace Abstract: Recent advancements in large language models (LLMs) have transformed natural language understanding and generation, leading to extensive benchmarking across diverse tasks. However, cryptanalysis - a critical area for data security and its connection to LLMs' generalization abilities - remains underexplored in LLM evaluations. To address this gap, we evaluate