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June 2024
Conference Paper
Titel
Towards Access Control for Machine Learning Embeddings
Abstract
In this work, we explore the potential to make embeddings, which are becoming an integral part of machine-learning pipelines, shareable with the general public while providing self-contained access control. To this end, we apply attribute-based encryption and discuss a potential application for supply chain management.