CryptoSPN: Privacy-preserving sum-product network inference

Amos Treiber; Alejandro Molina; Christian Weinert; Thomas Schneider; Kristian Kersting

doi:10.3233/FAIA200313

CryptoSPN: Privacy-preserving sum-product network inference

Amos Treiber, Alejandro Molina, Christian Weinert, Thomas Schneider, Kristian Kersting

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	ECAI 2020 - 24th European Conference on Artificial Intelligence, including 10th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2020 - Proceedings
Editors	Giuseppe De Giacomo, Alejandro Catala, Bistra Dilkina, Michela Milano, Senen Barro, Alberto Bugarin, Jerome Lang
Publisher	IOS Press BV
Pages	1946-1953
Number of pages	8
ISBN (Electronic)	9781643681009
DOIs	https://doi.org/10.3233/FAIA200313
Publication status	Published - 24 Aug 2020
Externally published	Yes
Event	24th European Conference on Artificial Intelligence, ECAI 2020, including 10th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2020 - Santiago de Compostela, Online, Spain Duration: 29 Aug 2020 → 8 Sept 2020

Publication series

Name	Frontiers in Artificial Intelligence and Applications
Volume	325
ISSN (Print)	0922-6389

Conference

Conference	24th European Conference on Artificial Intelligence, ECAI 2020, including 10th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2020
Country/Territory	Spain
City	Santiago de Compostela, Online
Period	29/08/20 → 8/09/20

Access to Document

10.3233/FAIA200313

Cite this

Treiber, A., Molina, A., Weinert, C., Schneider, T., & Kersting, K. (2020). CryptoSPN: Privacy-preserving sum-product network inference. In G. De Giacomo, A. Catala, B. Dilkina, M. Milano, S. Barro, A. Bugarin, & J. Lang (Eds.), ECAI 2020 - 24th European Conference on Artificial Intelligence, including 10th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2020 - Proceedings (pp. 1946-1953). (Frontiers in Artificial Intelligence and Applications; Vol. 325). IOS Press BV. https://doi.org/10.3233/FAIA200313

Treiber, Amos ; Molina, Alejandro ; Weinert, Christian et al. / CryptoSPN : Privacy-preserving sum-product network inference. ECAI 2020 - 24th European Conference on Artificial Intelligence, including 10th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2020 - Proceedings. editor / Giuseppe De Giacomo ; Alejandro Catala ; Bistra Dilkina ; Michela Milano ; Senen Barro ; Alberto Bugarin ; Jerome Lang. IOS Press BV, 2020. pp. 1946-1953 (Frontiers in Artificial Intelligence and Applications).

@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",

}

Treiber, A, Molina, A, Weinert, C, Schneider, T & Kersting, K 2020, CryptoSPN: Privacy-preserving sum-product network inference. in G De Giacomo, A Catala, B Dilkina, M Milano, S Barro, A Bugarin & J Lang (eds), ECAI 2020 - 24th European Conference on Artificial Intelligence, including 10th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2020 - Proceedings. Frontiers in Artificial Intelligence and Applications, vol. 325, IOS Press BV, pp. 1946-1953, 24th European Conference on Artificial Intelligence, ECAI 2020, including 10th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2020, Santiago de Compostela, Online, Spain, 29/08/20. https://doi.org/10.3233/FAIA200313

CryptoSPN: Privacy-preserving sum-product network inference. / Treiber, Amos; Molina, Alejandro; Weinert, Christian et al.
ECAI 2020 - 24th European Conference on Artificial Intelligence, including 10th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2020 - Proceedings. ed. / Giuseppe De Giacomo; Alejandro Catala; Bistra Dilkina; Michela Milano; Senen Barro; Alberto Bugarin; Jerome Lang. IOS Press BV, 2020. p. 1946-1953 (Frontiers in Artificial Intelligence and Applications; Vol. 325).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - CryptoSPN

T2 - 24th European Conference on Artificial Intelligence, ECAI 2020, including 10th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2020

AU - Treiber, Amos

AU - Molina, Alejandro

AU - Weinert, Christian

AU - Schneider, Thomas

AU - Kersting, Kristian

N1 - Funding Information: This project has received funding from the European Research Council (ERC) under the European Union’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: © 2020 The authors and IOS Press.

PY - 2020/8/24

Y1 - 2020/8/24

UR - http://www.scopus.com/inward/record.url?scp=85091777745&partnerID=8YFLogxK

U2 - 10.3233/FAIA200313

DO - 10.3233/FAIA200313

M3 - Conference contribution

AN - SCOPUS:85091777745

T3 - Frontiers in Artificial Intelligence and Applications

SP - 1946

EP - 1953

BT - ECAI 2020 - 24th European Conference on Artificial Intelligence, including 10th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2020 - Proceedings

A2 - De Giacomo, Giuseppe

A2 - Catala, Alejandro

A2 - Dilkina, Bistra

A2 - Milano, Michela

A2 - Barro, Senen

A2 - Bugarin, Alberto

A2 - Lang, Jerome

PB - IOS Press BV

Y2 - 29 August 2020 through 8 September 2020

ER -

Treiber A, Molina A, Weinert C, Schneider T, Kersting K. CryptoSPN: Privacy-preserving sum-product network inference. In De Giacomo G, Catala A, Dilkina B, Milano M, Barro S, Bugarin A, Lang J, editors, ECAI 2020 - 24th European Conference on Artificial Intelligence, including 10th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2020 - Proceedings. IOS Press BV. 2020. p. 1946-1953. (Frontiers in Artificial Intelligence and Applications). doi: 10.3233/FAIA200313

CryptoSPN: Privacy-preserving sum-product network inference

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Frameworks for Privacy-Preserving Machine Learning Inference

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CryptoSPN: Privacy-preserving sum-product network inference

Publication series

Conference

Access to Document

Other files and links

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Frameworks for Privacy-Preserving Machine Learning Inference

Cite this