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"AIVEX + TMBOM: Practical Governance of AI\/ML Exploitability and Behavioral Risks"

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DataCite Commons2026-03-09 更新2026-05-03 收录
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https://ieee-dataport.org/documents/aivex-tmbom-practical-governance-aiml-exploitability-and-behavioral-risks
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资源简介:
"This dataset contains machine-readable AI governance artifacts designed to support research on AI risk management, compliance engineering, and automated governance workflows. The dataset includes AIVEX exploitability assertions, TMBOM behavioral threat-model entries, input telemetry signals, and output governance decisions for 13 representative AI\/ML risk scenarios, including prompt injection, dataset poisoning, supply\u2011chain tampering, jailbreak attacks, fairness drift, model inversion, robustness degradation, and safety regression.Each scenario contains paired input and output JSON files that follow a consistent schema, making the dataset suitable for benchmarking rule-based governance engines, red\u2011team evaluations, SBOM\/VEX interoperability studies, and provenance-aware risk analysis. The files are provided as ZIP archives and are fully self\u2011contained, enabling reproducible experiments in AI safety, compliance automation, and supply\u2011chain integrity research."
提供机构:
IEEE DataPort
创建时间:
2026-03-09
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