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PAPAYA SIGNED

PlAtform for PrivAcY preserving data Analytics

Total Cost €

EC-Contrib. €

Partnership

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Outcomes and
results

PAPAYA project word cloud

Explore the words cloud of the PAPAYA project. It provides you a very rough idea of what is the project "PAPAYA" about.

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Project "PAPAYA" data sheet

The following table provides information about the project.

Coordinator	EURECOM Organization address address: ROUTE DES CHAPPES 450 CAMPUS SOPHIATECH city: BIOT postcode: 6410 website: www.eurecom.fr contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	France [FR]
Project website	https://www.papaya-project.eu/
Total cost	3˙763˙130 €
EC max contribution	2˙949˙417 € (78%)
Programme	1. H2020-EU.3.7.6. (Ensure privacy and freedom, including in the Internet and enhance the societal, legal and ethical understanding of all areas of security, risk and management)
Code Call	H2020-DS-SC7-2017
Funding Scheme	IA
Starting year	2018
Duration (year-month-day)	from 2018-05-01 to 2021-04-30

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	EURECOM EURECOM Organization address address: ROUTE DES CHAPPES 450 CAMPUS SOPHIATECH city: BIOT postcode: 6410 website: www.eurecom.fr contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	FR (BIOT)	coordinator	558˙255.00
2	IBM ISRAEL - SCIENCE AND TECHNOLOGY LTD IBM ISRAEL - SCIENCE AND TECHNOLOGY LTD Organization address address: 94 DERECH EM-HAMOSHAVOT city: PETACH TIKVA postcode: 49527 website: www.haifa.il.ibm.com contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	IL (PETACH TIKVA)	participant	713˙212.00
3	KARLSTADS UNIVERSITET KARLSTADS UNIVERSITET Organization address address: UNIVERSITETSGATAN 2 city: KARLSTAD postcode: 651 88 website: www.kau.se contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	SE (KARLSTAD)	participant	492˙500.00
4	ORANGE SA ORANGE SA Organization address address: RUE OLIVIER DE SERRES 78 city: PARIS postcode: 75015 website: www.francetelecom.com contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	FR (PARIS)	participant	432˙075.00
5	MEDIACLINICS ITALIA SRL MEDIACLINICS ITALIA SRL Organization address address: VIA ALLA CASCATA 56C city: TRENTO TN postcode: 38121 website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	IT (TRENTO TN)	participant	392˙437.00
6	ATOS SPAIN SA ATOS SPAIN SA Organization address address: CALLE DE ALBARRACIN 25 city: MADRID postcode: 28037 website: www.atos.net contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	ES (MADRID)	participant	360˙937.00

Map

Project objective

The valuable insights that can be inferred from analytics of data generated and collected from a variety of devices and applications are transforming businesses and are therefore one of the key motivations for organisations to adopt such technologies. Nevertheless, the data being analysed and processed are highly sensitive and put the individuals’ rights to privacy at risk. With the imminent arrival of the European General Data Protection Regulation (GDPR), companies are coerced to adopt privacy enhancing technologies that, on the one hand, protect data to ensure their clients’ privacy and on the other hand, allow their processing while keeping them meaningful, useful, and protected at the same time. The PAPAYA project aims at addressing the privacy concerns when data analytics tasks are performed by untrusted third-party data processors. Since these tasks may be performed obliviously on protected data (i.e. encrypted data), the PAPAYA will design and develop dedicated privacy preserving data analytics primitives that will enable data owners to extract valuable information from this protected data, while being cost-effective and accurate. The PAPAYA project will consider compliance with the GDPR as a key enabler to provide solutions that minimize the privacy risks while increasing trust in third-party data processors by means of auditing and visualization modules (a dashboard). The PAPAYA primitives as well as the dashboard will be combined in an integrated platform that will be designed, implemented and validated through a set of use cases reflecting relevant real world applications (namely, healthcare analytics and web & mobile data analytics).

Deliverables

List of deliverables.
Public Project Website	Websites, patent fillings, videos etc.	2020-03-25 17:17:28
Functional Design and Platform Architecture	Documents, reports	2020-03-25 17:17:28
Requirements specification	Documents, reports	2020-03-25 17:17:28
Preliminary Design of Privacy preserving Data Analytics	Documents, reports	2020-03-25 17:17:28
Dissemination and Communication plan	Documents, reports	2020-03-25 17:17:28
First Project Progress Report	Documents, reports	2020-03-25 17:17:28
Risk Management Artefacts for Increased Transparency	Documents, reports	2020-03-25 17:17:28
Innovation Strategy and Plan	Documents, reports	2020-03-25 17:17:28
Use case specification	Documents, reports	2020-03-25 17:17:28

Take a look to the deliverables list in detail: detailed list of PAPAYA deliverables.

Publications

List of publications.
year	authors and title	journal	last update
2019	Eleonora Ciceri, Marco Mosconi, Melek Ã–nen, Orhan Ermis PAPAYA: A PlAtform for PrivAcY preserving data Analytics published pages: , ISSN: , DOI:	ERCIM News. Special Theme: Digital Health 118	2020-03-25
2019	Gamze Tillem, Beyza Bozdemir, Melek Ã–nen Private neural network predictions published pages: , ISSN: , DOI:	ICT.OPEN2019, Dutch Digital Conference	2020-03-25
2019	Mohamad Mansouri, Beyza Bozdemir, Melek Ã–nen, Orhan Ermis PAC: Privacy-preserving Arrhythmia Classification with neural networks published pages: , ISSN: , DOI:	12th International Symposium on Foundations and Practice of Security (FPS 2019) 12056	2020-03-25
2019	Gamze Tillem, Beyza Bozdemir, Melek Ã–nen, Orhan Ermis Privacy preserving neural network classification: A hybrid solution published pages: , ISSN: , DOI:	PUT 2019, Open Day for Privacy, Usability, and Transparency, Co-located with the 19th Privacy Enhancing Technologies Symposium July 15th 2019	2020-03-25
2019	Tjerk Timan,Zoltan Mann, Rosa Araujo,Alberto Crespo Garcia,Ariel Farkash,Antoine Garnier,Akrivi Vivian Kiousi,Paul Koster,Antonio Kung, Giovanni Livraga, Roberto DÃaz Morales, Melek Ã–nen,Ãngel Palomares, Angel Navia VÃ¡zquez,Andreas Metzger Data protection in the era of artificial intelligence. Trends, existing solutions and recommendations for privacy-preserving technologies published pages: , ISSN: , DOI:		2020-03-25

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The information about "PAPAYA" are provided by the European Opendata Portal: CORDIS opendata.