Pille Pullonen-Raudvere 个人学术档案

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	总计	2019 年至今
引用	404	288
h 指数	9	9
i10 指数	9	9

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Dan BogdanovCybernetica在 cyber.ee 的电子邮件经过验证
Raimundas MatulevičiusProfessor, University of Tartu在 ut.ee 的电子邮件经过验证
Peeter LaudCybernetica AS在 cyber.ee 的电子邮件经过验证
Jake TomUniversity of Taru在 ut.ee 的电子邮件经过验证
Marlon DumasProfessor at University of Tartu | Chief Product Officer at Apromore在 ut.ee 的电子邮件经过验证
Sven LaurAssociate Professor in Privacy-Preserving Data Mining, University of Tartu在 ut.ee 的电子邮件经过验证
Benny PinkasBar Ilan University and Aptos Labs在 biu.ac.il 的电子邮件经过验证
Luciano García-BañuelosTecnologico de Monterrey, Mexico在 tec.mx 的电子邮件经过验证
Alisa PankovaCybernetica AS在 cyber.ee 的电子邮件经过验证
Claudio OrlandiProfessor, Department of Computer Science, Aarhus University, Denmark在 cs.au.dk 的电子邮件经过验证
Mark SimkinResearcher at Ethereum Foundation在 ethereum.org 的电子邮件经过验证
Marcel KellerCSIRO's Data61在 data61.csiro.au 的电子邮件经过验证
Joonas PuuraUniversity of Tartu在 ut.ee 的电子邮件经过验证
Thomas SchneiderProfessor of Computer Science, TU Darmstadt在 encrypto.cs.tu-darmstadt.de 的电子邮件经过验证
Barbara ReUniversity of Camerino在 unicam.it 的电子邮件经过验证
Rocco De NicolaProfessor of Computer Science, IMT Lucca在 imtlucca.it 的电子邮件经过验证
Francesco TiezziUniversità di Camerino在 unicam.it 的电子邮件经过验证
Sara BellucciniIMT Lucca在 imtlucca.it 的电子邮件经过验证
Marko JõemetsProject Manager, Cybernetica AS在 cyber.ee 的电子邮件经过验证

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Pille Pullonen-Raudvere

Cybernetica

在 cyber.ee 的电子邮件经过验证

secure multi-party computation privacy enhancing technologies


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Maturity and performance of programmable secure computation DW Archer, D Bogdanov, B Pinkas, P Pullonen IEEE security & privacy 14 (5), 48-56, 2016	71	2016
Privacy-enhanced BPMN: enabling data privacy analysis in business processes models P Pullonen, J Tom, R Matulevičius, A Toots Software and Systems Modeling 18, 3235-3264, 2019	68	2019
Combining secret sharing and garbled circuits for efficient private IEEE 754 floating-point computations P Pullonen, S Siim Financial Cryptography and Data Security: FC 2015 International Workshops …, 2015	62	2015
PE-BPMN: privacy-enhanced business process model and notation P Pullonen, R Matulevičius, D Bogdanov Business Process Management: 15th International Conference, BPM 2017 …, 2017	47	2017
Use your brain! Arithmetic 3PC for any modulus with active security H Eerikson, M Keller, C Orlandi, P Pullonen, J Puura, M Simkin Cryptology ePrint Archive, 2019	40	2019
From input private to universally composable secure multi-party computation primitives D Bogdanov, P Laud, S Laur, P Pullonen 2014 IEEE 27th Computer Security Foundations Symposium, 184-198, 2014	34	2014
The design and implementation of a two-party protocol suite for Sharemind 3 P Pullonen, D Bogdanov, T Schneider CYBERNETICA Institute of Information Security, Tech. Rep 4, 17, 2012	29	2012
Actively secure two-party computation: Efficient Beaver triple generation P Pullonen Instructor, 2013	21	2013
Business Process Privacy Analysis in Pleak A Toots, R Tuuling, M Yerokhin, M Dumas, L García-Bañuelos, P Laud, ... Fundamental Approaches to Software Engineering: 22nd International …, 2019	16	2019
Multi-level privacy analysis of business processes: the Pleak toolset M Dumas, L García-Bañuelos, J Jääger, P Laud, R Matulevičius, ... International Journal on Software Tools for Technology Transfer 24 (2), 183-203, 2022	8	2022
Foundations of programmable secure computation S Laur, P Pullonen-Raudvere Cryptography 5 (3), 22, 2021	4	2021
Verification of privacy-enhanced collaborations S Belluccini, R De Nicola, M Dumas, P Pullonen, B Re, F Tiezzi Proceedings of the 8th International Conference on Formal Methods in …, 2020	4	2020
SUNFISH D2. 1–State of the Art and Legal Aspects A Reiter, H Leitold, B Suzic, F Reimair, M Moffie, D Cordina, P Pullonen, ...		2015
Combining Secret Sharing and Garbled Circuits for Efficient Private IEEE 754 Floating-Point Computations S Siim, P Pullonen		2015

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