TAS-GNN: A Status-Aware Signed Graph Neural Network for Anomaly Detection in Bitcoin Trust Systems
arXiv 2603.13290•70d3b75cf04f5928f04f917a9e0aa2160efdd93649c160c29cd4004c7e40ed7d
adversarial-mlagent-isolationanomaly-detectionbackdoor-removalbenchmarkbitcoincti-REALMdifferential-privacygraph-neural-networkimage-encryptioninference-optimizationjson-sanitizationkv-cachemodel-backdoorsprivacy-enhancing-technologiesprivilege-separationprompt-injectionquantum-rngrandom-number-generatorred-teamingsigned-graphssuffix-jailbreaksybil-attacksynthetic-dataweb-of-trust
Paper metadata
- arXiv ID
- 2603.13290
- 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
- 70d3b75cf04f5928f04f917a9e0aa2160efdd93649c160c29cd4004c7e40ed7d
- Enrichment time
- 2026-03-17T07:23:56Z
- AI-assisted enrichment
- Yes
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