Project description
Data analytics and cryptography for privacy preservation
To address customers’ needs, organisations rely on large volumes of user data combined with tailored statistical analysis to adapt their services accordingly. Machine learning models are being applied in applications. However, such service improvements and personalisation based on user data analysis increases the risk of privacy loss. Moreover, systems using such models incorporate often inexact, biased, and unfair proxies. The EU-funded HARPOCRATES project will lay the foundation for digitally blind evaluation systems designed to eliminate proxies. The project plans to design several practical cryptographic schemes (functional encryption and hybrid homomorphic encryption) for analysing data in a way that preserves privacy and enables a comprehensive approach where data analytics and cryptography are associated with increased privacy.
Fields of science
- medical and health sciencesclinical medicinepsychiatrysleep disorders
- natural sciencescomputer and information sciencesdata science
- natural sciencescomputer and information sciencesdatabases
- natural sciencescomputer and information sciencesartificial intelligencepattern recognition
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
Programme(s)
Funding Scheme
HORIZON-AG - HORIZON Action Grant Budget-BasedCoordinator
33100 Tampere
Finland
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Participants (11)
501 15 Boras
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Dundalk Louth
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
26000 Pancevo
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
19140 Sollentuna
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
10117 Berlin
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37075 Goettingen
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50018 Zaragoza
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30123 Venezia
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70211 Kuopio
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75006 Paris
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46022 Valencia
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Partners (1)
W1B 2UW London
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