SODA SIGNED
Scalable Oblivious Data Analytics
Total Cost €
0EC-Contrib. €
0Partnership
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0SODA project word cloud
Explore the words cloud of the SODA project. It provides you a very rough idea of what is the project "SODA" about.
Project "SODA" data sheet
The following table provides information about the project.
| Coordinator |
PHILIPS ELECTRONICS NEDERLAND BV
Organization address contact info |
| Coordinator Country | Netherlands [NL] |
| Project website | http://www.soda-project.eu |
| Total cost | 2˙980˙610 € |
| EC max contribution | 2˙980˙609 € (100%) |
| Programme |
1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)) |
| Code Call | H2020-ICT-2016-1 |
| Funding Scheme | RIA |
| Starting year | 2017 |
| Duration (year-month-day) | from 2017-01-01 to 2019-12-31 |
Partnership
Take a look of project's partnership.
| # | ||||
|---|---|---|---|---|
| 1 | PHILIPS ELECTRONICS NEDERLAND BV | NL (EINDHOVEN) | coordinator | 783˙121.00 |
| 2 | ALEXANDRA INSTITUTTET A/S | DK (AARHUS N) | participant | 802˙125.00 |
| 3 | TECHNISCHE UNIVERSITEIT EINDHOVEN | NL (EINDHOVEN) | participant | 589˙698.00 |
| 4 | AARHUS UNIVERSITET | DK (AARHUS C) | participant | 505˙140.00 |
| 5 | GEORG-AUGUST-UNIVERSITAT GOTTINGENSTIFTUNG OFFENTLICHEN RECHTS | DE (GOTTINGEN) | participant | 300˙525.00 |
Map
Project objective
More and more data is being generated, and analyzing this data drives knowledge and value creation across society. Unlocking this potential requires sharing of (often personal) data between organizations, but this meets unwillingness from data subjects and data controllers alike. Hence, techniques that protect personal information for data access, processing, and analysis are needed. To address this, the SODA project will enable practical privacy-preserving analytics of information from multiple data assets using multi-party computation (MPC) techniques. For this data does not need to be shared, only made available for encrypted processing. The main technological challenge is to make MPC scale to big data, where we will achieve substantial performance improvements. We embed MPC into a comprehensive privacy approach, demonstrated in an ICT-14.b and a healthcare use case.
Our first objective is to enable MPC for big data applications by scaling the performance. We follow a use case-driven approach, combining expertise from the domains of MPC and data analytics. Our second objective is to combine these improvements with a multidisciplinary approach towards privacy. By enabling differential privacy in the MPC setting aggregated results will not leak individual personal data. Legal analysis performed in a feedback loop with technical development will ensure improved compliance with EU data privacy regulation. User studies performed in a feedback loop with our consent control component will make data subjects more confident to have their data processed with our techniques. Our final objective is to validate our approach, by applying our results in a medical demonstrator originating from Philips practice and in a use case arising from the ICT-14.b data experimentation incubators. The techniques will be subjected to public hacking challenges. The technical innovations will be released as open-source improvements to the FRESCO MPC framework.
Deliverables
| Use-case-specific legal aspects | Documents, reports | 2020-04-09 20:40:39 |
| Differential Privacy | Documents, reports | 2020-04-09 20:40:32 |
| User studies analysis | Documents, reports | 2020-04-09 20:43:08 |
| Publication of hacking challenge | Websites, patent fillings, videos etc. | 2020-04-09 20:41:23 |
| Proof-of-concept for results of tasks 1.3/2.3 | Other | 2020-04-09 20:41:56 |
| Proof-of-concept for results of tasks 1.2/2.2 | Other | 2020-04-09 20:41:07 |
| Use-case-specific algorithms | Documents, reports | 2020-04-09 20:43:00 |
| Special Purpose MPC Protocols | Documents, reports | 2020-04-09 20:42:18 |
| Distributed/streaming algorithms | Documents, reports | 2020-04-09 20:42:28 |
| General MPC Framework | Documents, reports | 2020-04-09 20:42:05 |
| WP1 State of the art | Documents, reports | 2020-02-19 17:02:47 |
| WP2 State of the art | Documents, reports | 2020-02-19 17:02:47 |
| Public website | Websites, patent fillings, videos etc. | 2020-02-19 17:02:47 |
| User studies plan | Documents, reports | 2020-02-19 17:02:47 |
| General legal aspects | Documents, reports | 2020-02-19 17:02:47 |
Take a look to the deliverables list in detail: detailed list of SODA deliverables.
Publications
| year | authors and title | journal | last update |
|---|---|---|---|
| 2018 |
Veeningen, M.; Chatterjea, S.; Horváth, A.Z.; Spindler, G.; Boersma, E.; Spek, van der, P.; Galiën, van der, O.; Gutteling, J.; Kraaij, W.; Veugen, T. Enabling analytics on sensitive medical data with secure multi-party computation published pages: , ISSN: , DOI: |
STARTPAGE=76;ENDPAGE=80;TITLE=Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth 1 | 2020-03-06 |
| 2018 |
Jacob, Riko; Larsen, Kasper Green; Nielsen, Jesper Buus Lower Bounds for Oblivious Data Structures published pages: , ISSN: , DOI: |
1 | 2020-03-06 |
| 2018 |
Brânzei, Simina; Orlandi, Claudio; Yang, Guang Sharing Information with Competitors published pages: , ISSN: , DOI: |
1 | 2020-03-06 |
| 2017 |
Arnout Jaspers Sharing Secrets (Without Giving Them Away) published pages: , ISSN: , DOI: |
2020-02-19 | |
| 2017 |
Satrajit Ghosh (Aarhus University), Jesper Buus Nielsen (Aarhus University), Tobias Nilges (Aarhus University) Maliciously Secure Oblivious Linear Function Evaluation with Constant Overhead published pages: , ISSN: , DOI: |
2020-02-19 | |
| 2018 |
Ivan Damgård, Ji Lao, Sabine Oechsner, Mark Simkin, Peter Scholl Compact Zero-Knowledge Proofs of Small Hamming Weight published pages: , ISSN: , DOI: |
2020-02-19 | |
| 2018 |
Peter Scholl Extending Oblivious Transfer with Low Communication via Key-Homomorphic PRFs published pages: , ISSN: , DOI: |
2020-02-19 | |
| 2018 |
Ivan Damgård, Claudio Orlandi, Mark Simkin Yet Another Compiler for Active Security or: Efficient MPC Over Arbitrary Rings published pages: , ISSN: , DOI: |
2020-02-19 | |
| 2018 |
Tore Frederiksen, Benny Pinkas, Avishay Yanai Committed MPC - Maliciously Secure Multiparty Computation from Homomorphic Commitments published pages: , ISSN: , DOI: |
2020-02-19 | |
| 2017 |
Niek Bouman, Mykola Pechenizkiy Data Mining with Secure Computation published pages: , ISSN: , DOI: |
2020-02-19 | |
| 2017 |
Prastudy Fauzi (Aarhus University), Helger Lipmaa (University of Tartu), Janno Siim (University of Tartu and STACC), Michał Zając (University of Tartu) An Efficient Pairing-Based Shuffle Argument published pages: , ISSN: , DOI: |
2020-02-19 | |
| 2017 |
Meilof Veeningen Distributed Privacy-Preserving Data Mining in the Medical Domain published pages: , ISSN: , DOI: |
2020-02-19 | |
| 2018 |
Peter Scholl Efficient MPC From Syndrome Decoding published pages: , ISSN: , DOI: |
2020-02-19 | |
| 2018 |
Ronald Cramer, Ivan Damgård, Daniel Escudero, Peter Scholl, Chaoping Xing SPDZ_2^k: Efficient MPC mod 2^k for Dishonest Majority published pages: , ISSN: , DOI: |
2020-02-19 | |
| 2016 |
Milan Petkovic SODA - Scalable Oblivious Data Analytics published pages: , ISSN: , DOI: |
2020-02-19 | |
| 2017 |
Meilof Veeningen SODA - Scalable Oblivious Data Analytics published pages: , ISSN: , DOI: |
2020-02-19 | |
| 2018 |
Frank Blom, Niek Bouman, Berry Schoenmakers, Niels de Vreede Secure Linear Algebra over F_p and Q published pages: , ISSN: , DOI: |
2020-02-19 | |
| 2017 |
Meilof Veeningen Pinocchio-Based Adaptive zk-SNARKs, Secure Adaptive Function Evaluation and Privacy-Preserving Medical Research published pages: , ISSN: , DOI: |
2020-02-19 | |
| 2018 |
Carmit Hazay, Emmanuela Orsini, Peter Scholl , Eduardo Soria-Vazquez TinyKeys: A New Approach to Efficient Multi-Party Computation published pages: , ISSN: , DOI: |
2020-02-19 | |
| 2017 |
Carmit Hazay (Bar-Ilan University), Peter Scholl (Aarhus University), Eduardo Soria-Vazquez (University of Bristol) Low Cost Constant Round MPC Combining BMR and Oblivious Transfer published pages: , ISSN: , DOI: |
2020-02-19 | |
| 2017 |
Meilof Veeningen Pinocchio-Based Adaptive zk-SNARKs and Secure/Correct Adaptive Function Evaluation published pages: 21-39, ISSN: , DOI: 10.1007/978-3-319-57339-7_2 |
2020-02-19 | |
| 2017 |
Jesper Buus Nielsen (Aarhus University) Thomas Schneider (Technische Universität Darmstadt) Roberto Trifiletti (Aarhus University) Constant Round Maliciously Secure 2PC with Function-independent Preprocessing using LEGO published pages: , ISSN: , DOI: |
2020-02-19 | |
| 2017 |
Helene Haagh, Yue Ji, Chenxing Li, Claudio Orlandi, and Yifan Song Revealing Encryption for Partial Ordering published pages: , ISSN: , DOI: |
2020-02-19 | |
| 2018 |
Meilof VEENINGEN, Supriyo CHATTERJEA, Anna Zsófia HORVÃTH, Gerald SPINDLERb, Eric BOERSMA, Peter van der SPEK, Onno van der GALIËN, Job GUTTELING, Wessel KRAAIJ, Thijs VEUGEN Enabling Analytics on Sensitive Medical Data with Secure Multi-Party Computation published pages: , ISSN: , DOI: |
2020-02-19 | |
| 2017 |
Meilof Veeningen Philips, Big Data &Â healthcare published pages: , ISSN: , DOI: |
2020-02-19 | |
| 2017 |
Meilof Veeningen PySNARK published pages: , ISSN: , DOI: |
2020-02-19 | |
| 2018 |
Meilof Veeningen PySNARK announcement (flash presentation) published pages: , ISSN: , DOI: |
2020-02-19 | |
| 2017 |
Peter Scholl (Aarhus University), Nigel Smart (University of Bristol), Tim Wood (University of Bristol) When It’s All Just Too Much: Outsourcing MPC-Preprocessing published pages: , ISSN: , DOI: |
2020-02-19 | |
| 65535 |
Martine De Cock, Rafael Dowsley, Caleb Horst, Raj Katti, Anderson Nascimento, Wing-Sea Poon, Stacey Truex Efficient and Private Scoring of Decision Trees, Support Vector Machines and Logistic Regression Models based on Pre-Computation published pages: 1-1, ISSN: 1545-5971, DOI: 10.1109/TDSC.2017.2679189 |
IEEE Transactions on Dependable and Secure Computing | 2020-02-19 |
| 2017 |
Niek Bouman, Berry Schoenmakers Introduction to Secure Multiparty Computation published pages: , ISSN: , DOI: |
2020-02-19 | |
| 2017 |
Jesper Buus Nielsen, Samuel Ranellucci On the Computational Overhead of MPC with Dishonest Majority published pages: 369-395, ISSN: , DOI: 10.1007/978-3-662-54388-7_13 |
2020-02-19 | |
| 2017 |
Arnout Jaspers Geheimen delen met partners die je niet vertrouwt published pages: , ISSN: , DOI: |
2020-02-19 | |
| 2018 |
Tore Frederiksen, Yehuda Lindell, Valery Osheter, Benny Pinkas Fast Distributed RSA Key Generation for Semi-Honest and Malicious Adversaries published pages: , ISSN: , DOI: |
2020-02-19 | |
| 2017 |
Nico Döttling, Satrajit Ghosh, Jesper Buus Nielsen, Tobias Nilges, Roberto Trifiletti TinyOLE: Efficient Actively Secure Two-Party Computation from Oblivious Linear Function Evaluation published pages: , ISSN: , DOI: |
2020-02-19 |
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