Research on Security Enhancement Methods for Adversarial Robust Large Language Model Intelligent Agents for Medical Decision-Making Tasks
arXiv 2605.08257•79fb4de6683557913a0aa6d4162225201c2ad8f7923a3866b4c79c971a68136c
adversarial-robustnessattested-buildsbrowser-agentscode-auditcontent-piracy-detection','anti-rip'jailbreakingkettlellm-generated-code-vulnerabilitiesllm-safetymagna-magmamalware-detectionmedical-aiprng-backdoorprompt-injectionprovenanceqrng-defensequantum-rngragsecure-code-generationsecureforgeseed-hijacksupply-chain-securitytelegram-piracytrusted-execution-environmentuncertainty-estimation
Paper metadata
- arXiv ID
- 2605.08257
- 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
- 79fb4de6683557913a0aa6d4162225201c2ad8f7923a3866b4c79c971a68136c
- Enrichment time
- 2026-05-12T07:23:31Z
- AI-assisted enrichment
- Yes
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