Autonomous LLM Agents & CTFs: A Second Look
arXiv 2605.21497•26ba80ec3839506dd831fec018ddd6e41ca305ef43b61273aa6ec8a16ff2011b
ASSEMBLAGE-DEEPHISTORYECDSAFuzzingBrainHIDBenchHIDSLLM-agentsMEVMLLMsOSS-FuzzPolygonadversarial-mlbenchmarkingbinary-datasetblockchaincryptographyfuzzinghost-based-intrusion-detectionjailbreakinglarge-language-modelsnonce reuseprivate-key-recoveryprompt-injectiontransferabilityvulnerability-discoveryzero-day-discovery','SGX2','trusted-execution-environments','TEE
Paper metadata
- arXiv ID
- 2605.21497
- 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
- 26ba80ec3839506dd831fec018ddd6e41ca305ef43b61273aa6ec8a16ff2011b
- Enrichment time
- 2026-05-22T07:23:30Z
- AI-assisted enrichment
- Yes
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