GREW uses a secret-key-driven green-red item partition and three ranking-integrated modules to embed verifiable watermarks in recommender systems that resist extraction attacks without data injection.
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GeoMark decouples local watermark triggering from centralized ownership attribution using geometry-separated anchors and adaptive neighborhoods to improve robustness against paraphrasing, dimension changes, and clustering attacks while preserving utility.
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Green-Red Watermarking for Recommender Systems
GREW uses a secret-key-driven green-red item partition and three ranking-integrated modules to embed verifiable watermarks in recommender systems that resist extraction attacks without data injection.
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Geometry-Aware Localized Watermarking for Copyright Protection in Embedding-as-a-Service
GeoMark decouples local watermark triggering from centralized ownership attribution using geometry-separated anchors and adaptive neighborhoods to improve robustness against paraphrasing, dimension changes, and clustering attacks while preserving utility.