Artificial Intelligence #llm#secure code generation
SPARK Method Activates Latent Security Knowledge in LLMs for Secure Code Generation
SPARK (Security Knowledge Priming and Representation-Guided Knowledge Activation) is a new inference-time method that improves the security of code generated by large language models without requiring retraining. The researchers argue that pretraining data already contains sufficient security material; the bottleneck is activation. Evaluated on 9 open-source and 7 proprietary models, SPARK matches or improves secure code generation baselines while preserving code utility.
Jun 16, 2026 1 source