AI RESEARCH
Geometry-Aware Localized Watermarking for Copyright Protection in Embedding-as-a-Service
arXiv CS.CL
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ArXi:2604.11344v1 Announce Type: cross Embedding-as-a-Service (EaaS) has become an important semantic infrastructure for natural language and multimedia applications, but it is highly vulnerable to model stealing and To address this problem, we propose GeoMark, a geometry-aware localized watermarking framework for EaaS Experiments on four benchmark datasets show that GeoMark preserves downstream utility and geometric fidelity while maintaining robust