ARC Future Fellowships - Grant ID: FT190100429

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/FT190100429

Funding Status
Active

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Funded Activity Summary

Data sharing with strong privacy against inference attacks. This project aims to develop theories and techniques for strong protection of personal information in sharing large datasets such as national health data or census records. It intends to achieve this through developing new information theoretic methods for synthesising datasets with proven high fidelity and protection against re-identification and inference attacks, where attackers try to learn probability of sensitive data. The expected outcomes are algorithms for public and private sector data curators to dial up or down their data access arrangements based on privacy risks and fidelity demands linked with different data types and uses. This project intends to enable Australians to securely benefit from valuable data in decision making.

Funded Activity Details

Start Date: 20-11-2020

End Date: 19-11-2024

Funding Scheme: ARC Future Fellowships

Funding Amount: $996,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Signal Processing | Data Format | Coding and Information Theory |

ANZSRC Socio-Economic Objective (SEO)

Information Services not elsewhere classified | Electronic Information Storage and Retrieval Services

Other Keywords

Coding and Information Theory | Data Format | Electronic Information Storage and Retrieval Services | Information Services not elsewhere classified | Signal Processing

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