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Code-Augur: Agentic Vulnerability Detection via Specification Inference

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arXiv:2606. 18619v1 Announce Type: new Abstract: The advent of agentic vulnerability detection is already becoming a watershed moment for software security.

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Authors: Zhengxiong Luo, Mehtab Zafar, Dylan Wolff, Abhik Roychoudhury
Released: 2026-06-18 (21d ago)
Topic: Related to current project
Relation to my work: Read next because Code-Augur: Agentic Vulnerability Detection via Specification Inference overlaps with clean result "LoRA persona trained on <A> alone emits <B> at 23.5% when a co-trained partner learns <A>...<B>, vs 0% control on Qwen2.5-7B-Instruct (MODERATE confidence)", clean result "Leakage rate is a usable signal for recovering trigger-shaped phrases on Gaperon-1125-1B without knowing the hidden trigger itself (MODERATE confidence)", clean result "Language-mismatch LoRA SFT on Qwen2.5-7B leaks the trained completion language into bystander directives the model was never trained on, absent under same-language SFT (LOW confidence)". Matching terms: code, rect, under, correct, soft, source, rate, compare. Source: arxiv cs.CR (Cryptography and Security).
arXiv: 2606.18619

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