Fine-tuned GPT-4.1-mini reaches 0.9072 static similarity and 92.5% functional correctness on a new synthetic dataset of cryptographic code migrations, outperforming zero-shot baselines.
A survey of post-quantum cryptography support in cryptographic libraries
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.CR 2years
2026 2representative citing papers
citing papers explorer
-
Empirical Evaluation of Large Language Models for Migration of Code Fragments to Post-Quantum Cryptography
Fine-tuned GPT-4.1-mini reaches 0.9072 static similarity and 92.5% functional correctness on a new synthetic dataset of cryptographic code migrations, outperforming zero-shot baselines.
- Benchmarking NIST-Standardised ML-KEM and ML-DSA on ARM Cortex-M0+: Latency, Rejection-Sampling Variance, and Memory on the RP2040