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ORCIDDan Bogdanov
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- affiliation: Cybernetica AS, Tallinn, Estonia
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Journal Articles
- 2024
[j10]Hendrik Ballhausen
, Stefanie Corradini, Claus Belka, Dan Bogdanov, Luca Boldrini, Francesco Bono, Christian Goelz, Guillaume Landry, Giulia Panza, Katia Parodi, Riivo Talviste, Huong Elena Tran, Maria Antonietta Gambacorta, Sebastian Marschner:
Privacy-friendly evaluation of patient data with secure multiparty computation in a European pilot study. npj Digit. Medicine 7(1) (2024)- 2022
- [j9]Carmela Troncoso, Dan Bogdanov, Edouard Bugnion, Sylvain Chatel, Cas Cremers, Seda F. Gürses, Jean-Pierre Hubaux, Dennis Jackson, James R. Larus, Wouter Lueks, Rui Oliveira, Mathias Payer, Bart Preneel, Apostolos Pyrgelis, Marcel Salathé, Theresa Stadler, Michael Veale:
Deploying decentralized, privacy-preserving proximity tracing. Commun. ACM 65(9): 48-57 (2022) - 2021
- [j8]Wouter Lueks, Justus Benzler, Dan Bogdanov, Göran Kirchner, Raquel Lucas, Rui Oliveira, Bart Preneel, Marcel Salathé, Carmela Troncoso, Viktor von Wyl:
Toward a Common Performance and Effectiveness Terminology for Digital Proximity Tracing Applications. Frontiers Digit. Health 3: 677929 (2021) - 2018
- [j7]David W. Archer, Dan Bogdanov, Yehuda Lindell, Liina Kamm, Kurt Nielsen, Jakob Illeborg Pagter, Nigel P. Smart, Rebecca N. Wright:
From Keys to Databases - Real-World Applications of Secure Multi-Party Computation. Comput. J. 61(12): 1749-1771 (2018) - [j6]Dan Bogdanov, Liina Kamm, Sven Laur, Ville Sokk:
Implementation and Evaluation of an Algorithm for Cryptographically Private Principal Component Analysis on Genomic Data. IEEE ACM Trans. Comput. Biol. Bioinform. 15(5): 1427-1432 (2018) - [j5]Dan Bogdanov, Liina Kamm, Sven Laur, Ville Sokk:
Rmind: A Tool for Cryptographically Secure Statistical Analysis. IEEE Trans. Dependable Secur. Comput. 15(3): 481-495 (2018) - 2016
- [j4]David W. Archer, Dan Bogdanov, Benny Pinkas, Pille Pullonen:
Maturity and Performance of Programmable Secure Computation. IEEE Secur. Priv. 14(5): 48-56 (2016) - [j3]Dan Bogdanov, Liina Kamm, Baldur Kubo, Reimo Rebane, Ville Sokk, Riivo Talviste:
Students and Taxes: a Privacy-Preserving Study Using Secure Computation. Proc. Priv. Enhancing Technol. 2016(3): 117-135 (2016) - 2013
- [j2]Liina Kamm, Dan Bogdanov, Sven Laur, Jaak Vilo:
A new way to protect privacy in large-scale genome-wide association studies. Bioinform. 29(7): 886-893 (2013) - 2012
- [j1]Dan Bogdanov, Margus Niitsoo, Tomas Toft, Jan Willemson:
High-performance secure multi-party computation for data mining applications. Int. J. Inf. Sec. 11(6): 403-418 (2012)
Conference and Workshop Papers
- 2024
- [c15]Dan Bogdanov, Joosep Jääger, Peeter Laud, Härmel Nestra, Martin Pettai, Jaak Randmets, Raul-Martin Rebane, Ville Sokk, Kert Tali, Sandhra-Mirella Valdma:
ZK-SecreC: a Domain-Specific Language for Zero-Knowledge Proofs. CSF 2024: 372-387 - [c14]Dan Bogdanov, Paula Etti, Liina Kamm, Fedor Stomakhin:
Artificial Intelligence System Risk Management Methodology Based on Generalized Blueprints. CyCon 2024: 123-140 - 2023
- [c13]Liina Kamm, Dan Bogdanov, Eduardo Brito, Andre Ostrak:
Blueprints for Deploying Privacy Enhancing Technologies in E-Government. Privacy and Identity Management 2023: 3-19 - 2017
- [c12]Pille Pullonen, Raimundas Matulevicius, Dan Bogdanov:
PE-BPMN: Privacy-Enhanced Business Process Model and Notation. BPM 2017: 40-56 - 2015
- [c11]Dan Bogdanov, Marko Jõemets, Sander Siim, Meril Vaht:
How the Estonian Tax and Customs Board Evaluated a Tax Fraud Detection System Based on Secure Multi-party Computation. Financial Cryptography 2015: 227-234 - 2014
- [c10]Dan Bogdanov, Liina Kamm, Sven Laur, Pille Pruulmann-Vengerfeldt, Riivo Talviste, Jan Willemson:
Privacy-Preserving Statistical Data Analysis on Federated Databases. APF 2014: 30-55 - [c9]Dan Bogdanov, Peeter Laud, Sven Laur, Pille Pullonen:
From Input Private to Universally Composable Secure Multi-party Computation Primitives. CSF 2014: 184-198 - [c8]Dan Bogdanov, Peeter Laud, Jaak Randmets:
Domain-Polymorphic Programming of Privacy-Preserving Applications. PLAS@ECOOP 2014: 53 - [c7]Dan Bogdanov, Sven Laur, Riivo Talviste:
A Practical Analysis of Oblivious Sorting Algorithms for Secure Multi-party Computation. NordSec 2014: 59-74 - [c6]Dan Bogdanov, Keita Emura, Roman Jagomägis, Akira Kanaoka, Shin'ichiro Matsuo, Jan Willemson:
A Secure Genetic Algorithm for the Subset Cover Problem and Its Application to Privacy Protection. WISTP 2014: 108-123 - 2013
- [c5]Dan Bogdanov, Peeter Laud, Jaak Randmets:
Domain-polymorphic language for privacy-preserving applications. PETShop@CCS 2013: 23-26 - 2012
- [c4]Dan Bogdanov, Riivo Talviste, Jan Willemson:
Deploying Secure Multi-Party Computation for Financial Data Analysis - (Short Paper). Financial Cryptography 2012: 57-64 - [c3]Dan Bogdanov, Roman Jagomägis, Sven Laur:
A Universal Toolkit for Cryptographically Secure Privacy-Preserving Data Mining. PAISI 2012: 112-126 - 2009
- [c2]Dan Bogdanov, Ilja Livenson:
VirtualLife: Secure Identity Management in Peer-to-Peer Systems. UCMedia 2009: 181-188 - 2008
- [c1]Dan Bogdanov, Sven Laur, Jan Willemson:
Sharemind: A Framework for Fast Privacy-Preserving Computations. ESORICS 2008: 192-206
Informal and Other Publications
- 2023
- [i12]David W. Archer, Borja de Balle Pigem, Dan Bogdanov, Mark Craddock, Adrià Gascón, Ronald Jansen, Matjaz Jug, Kim Laine, Robert McLellan, Olga Ohrimenko, Mariana Raykova, Andrew Trask, Simon Wardley:
UN Handbook on Privacy-Preserving Computation Techniques. CoRR abs/2301.06167 (2023) - 2022
- [i11]Dan Bogdanov, Joosep Jääger, Peeter Laud, Härmel Nestra, Martin Pettai, Jaak Randmets, Ville Sokk, Kert Tali, Sandhra-Mirella Valdma:
ZK-SecreC: a Domain-Specific Language for Zero Knowledge Proofs. CoRR abs/2203.15448 (2022) - 2020
- [i10]Justus Benzler, Dan Bogdanov, Göran Kirchner, Wouter Lueks, Raquel Lucas, Rui Oliveira, Bart Preneel, Marcel Salathé, Carmela Troncoso, Viktor von Wyl:
Towards a common performance and effectiveness terminology for digital proximity tracing applications. CoRR abs/2012.12927 (2020) - 2018
- [i9]David W. Archer, Dan Bogdanov, Yehuda Lindell, Liina Kamm, Kurt Nielsen, Jakob Illeborg Pagter, Nigel P. Smart, Rebecca N. Wright:
From Keys to Databases - Real-World Applications of Secure Multi-Party Computation. IACR Cryptol. ePrint Arch. 2018: 450 (2018) - 2015
- [i8]David W. Archer, Dan Bogdanov, Benny Pinkas, Pille Pullonen:
Maturity and Performance of Programmable Secure Computation. IACR Cryptol. ePrint Arch. 2015: 1039 (2015) - [i7]Dan Bogdanov, Liina Kamm, Baldur Kubo, Reimo Rebane, Ville Sokk, Riivo Talviste:
Students and Taxes: a Privacy-Preserving Social Study Using Secure Computation. IACR Cryptol. ePrint Arch. 2015: 1159 (2015) - 2014
- [i6]Dan Bogdanov, Peeter Laud, Sven Laur, Pille Pullonen:
From Input Private to Universally Composable Secure Multiparty Computation Primitives. IACR Cryptol. ePrint Arch. 2014: 201 (2014) - [i5]Dan Bogdanov, Liina Kamm, Sven Laur, Ville Sokk:
Rmind: a tool for cryptographically secure statistical analysis. IACR Cryptol. ePrint Arch. 2014: 512 (2014) - 2013
- [i4]Dan Bogdanov, Peeter Laud, Jaak Randmets:
Domain-Polymorphic Programming of Privacy-Preserving Applications. IACR Cryptol. ePrint Arch. 2013: 371 (2013) - [i3]Dan Bogdanov, Liina Kamm, Sven Laur, Pille Pruulmann-Vengerfeldt:
Secure multi-party data analysis: end user validation and practical experiments. IACR Cryptol. ePrint Arch. 2013: 826 (2013) - 2011
- [i2]Dan Bogdanov, Riivo Talviste, Jan Willemson:
Deploying secure multi-party computation for financial data analysis. IACR Cryptol. ePrint Arch. 2011: 662 (2011) - 2008
- [i1]Dan Bogdanov, Sven Laur, Jan Willemson:
Sharemind: a framework for fast privacy-preserving computations. IACR Cryptol. ePrint Arch. 2008: 289 (2008)
Coauthor Index
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