Mirza Masfiqur Rahman, MD Ajwad Akil, Imtiaz Karim, Ashish Kundu, Ramana Kompella, Elisa Bertino · 2026 · arXiv
DOI: 10.48550/arXiv.2610.26001 · open-access PDF
Code generated by large language models often passes every functional test while remaining insecure. These security hallucinations are common, written with high confidence, and repeated across samples, so neither the generator's own uncertainty nor static analyzers reliably catch them. We introduce SPLASH, which is guided by a new measure called audit pressure. It contrasts teacher-forced log-probabilities for the generated program under a security review and a style review. Aggregated to statements and programs, and grounded in a probabilistic model of competing edits, audit pressure allows S
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