Publications
SCOPE: A Proof-of-Concept Framework for Measuring Alignment in Data-Scarce Cybergrooming Domains
| Author | Choi, Jeong-Eun; Fan, Shiying; Steinebach, Martin |
|---|---|
| Date | 2026 |
| Type | Conference Paper |
| Abstract | Cybergrooming is a growing threat to minors, but research is constrained by limited real-world data. Synthetic datasets are a promising alternative, yet their validity is difficult to assess. This paper introduces SCOPE, a framework for evaluating alignment between synthetic and real-world datasets in privacy-sensitive domains. We motivate the need for such evaluation and demonstrate SCOPE's feasibility with a proofof-concept example covering feature selection and alignment measurement. Supplementary materials are available at: SCOPE GitHub repository. |
| Conference | Annual Computers, Software, and Applications Conference 2026 |
| Url | https://publica.fraunhofer.de/handle/publica/523325 |
Vulnerabilities and Security Gaps
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