@inproceedings{2f094aafbbff4f7aaea087bbaaffed6a,
title = "CryptoSPN: Privacy-preserving sum-product network inference",
author = "Amos Treiber and Alejandro Molina and Christian Weinert and Thomas Schneider and Kristian Kersting",
note = "Funding Information: This project has received funding from the European Research Council (ERC) under the European Union{\textquoteright}s Horizon 2020 research and innovation programme (grant agreement No. 850990 PSOTI). It was co-funded by the Deutsche Forschungsgemeinschaft (DFG) — SFB 1119 CROSSING/236615297 and GRK 2050 Privacy & Trust/251805230, and by the BMBF and HMWK within ATHENE. KK also acknowledges the support of the Federal Ministry of Education and Research (BMBF), grant number 01IS18043B “MADESI”. Publisher Copyright: {\textcopyright} 2020 The authors and IOS Press.; 24th European Conference on Artificial Intelligence, ECAI 2020, including 10th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2020 ; Conference date: 29-08-2020 Through 08-09-2020",
year = "2020",
month = aug,
day = "24",
doi = "10.3233/FAIA200313",
language = "English",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press BV",
pages = "1946--1953",
editor = "{De Giacomo}, Giuseppe and Alejandro Catala and Bistra Dilkina and Michela Milano and Senen Barro and Alberto Bugarin and Jerome Lang",
booktitle = "ECAI 2020 - 24th European Conference on Artificial Intelligence, including 10th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2020 - Proceedings",
}