Supporting Artifact Evaluation with LLMs: A Study with Published Security Research Papers
arXiv 2603.06862•cae030af0e2e09c2dde3847b231222a389ddc3e373ab2697bb72549d2f3d964d
CPSIoTLLM-assisted reproducibilitySSDISSETFMXACMLartifact evaluationaudio-visual modelsbreak-the-glassconsent-based access controlcryptographic agilitydeep-learning side-channeleBPFhealthcare identity managementmAVEpatient privacypost-quantum cryptographysearchable symmetric encryptionself-sovereign identityside-channelsystem-level leakagetemporal attacktext-to-video jailbreakwatermarking
Paper metadata
- arXiv ID
- 2603.06862
- 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
- cae030af0e2e09c2dde3847b231222a389ddc3e373ab2697bb72549d2f3d964d
- Enrichment time
- 2026-03-10T07:23:35Z
- AI-assisted enrichment
- Yes
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