CC BY 4.0Matzutt, RomanRomanMatzutt2024-04-292024-04-292024-06https://publica.fraunhofer.de/handle/publica/467007https://doi.org/10.24406/publica-299410.1145/3655693.366129610.24406/publica-2994In 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.enAttribute-based encryptionembeddingsaccess controlconference paper