Discovery Early Career Researcher Award - Grant ID: DE160100584

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DE160100584

Funding Status
Closed

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Funded Activity Summary

Secure and Private Machine Learning. This project intends to answer the question: How can machines learn from data when participants behave maliciously for personal gain? Machine learning and statistics are used in many technologies where participants have an incentive to game the system (eg internet ad placement, e-commerce rating systems, credit risk in finance, health analytics and smart utility grids). However, little is known about how well state-of-the-art statistical inference techniques fare when data is manipulated by a malicious participant. The project's outcomes aim to ensure that statistical analysis is accurate while preserving data privacy, providing theoretical foundations of secure machine learning in adversarial domains. Potential applications range from cybersecurity defences to measures for balancing security and privacy interests.

Funded Activity Details

Start Date: 01-01-2016

End Date: 31-12-2018

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $370,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Pattern Recognition and Data Mining | Artificial Intelligence and Image Processing

ANZSRC Socio-Economic Objective (SEO)

Expanding Knowledge in the Information and Computing Sciences | National Security | Information Processing Services (incl. Data Entry and Capture) |

Other Keywords

Artificial Intelligence and Image Processing | Expanding Knowledge in the Information and Computing Sciences | Information Processing Services (incl. Data Entry and Capture) | National Security | Pattern Recognition and Data Mining

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