Incident-Data Robustness Analysis of the OWASP Top 10 for LLM Applications (2026): How a Community-Expert Ranking Holds Up Against a Large-Scale LLM Incident Corpus
arXiv 2608.19266•8747eaea51763e14cd639482675bf9101cdd8af3db763e40000095cfd828cff0
APT detectionLLM securityOWASP Top 10 for LLM ApplicationsYARAattribute-based encryptionbehavioral evasionfederated learninggradient inversionmalicious AI agent skillsmalware evasionpost-quantum cryptographyprivacy leakageprivacy-preserving machine learningprovenance graphsransomwareredactable blockchains
Paper metadata
- arXiv ID
- 2608.19266
- Version
- Not specified by this published record
- Category
- Computer Science — Cryptography and Security (cs.CR)
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Evidence and limitations
- Source ID
- arxiv_cs_cr
- Record identifier
- 8747eaea51763e14cd639482675bf9101cdd8af3db763e40000095cfd828cff0
- Enrichment time
- 2026-08-21T07:23:26Z
- AI-assisted enrichment
- Yes
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