Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP190102443
Funding Status
Active
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Funded Activity Summary
Defense against adversarial attacks on deep learning in computer vision. Computer vision applications rely heavily on deep learning, which is highly vulnerable to being fooled by adding subtle perturbations to object/image textures that are imperceptible to humans. This project aims to develop defense mechanisms to detect and remove adversarial patterns from the input images. The project expects to advance knowledge in understanding the vulnerabilities of deep learning, and to design deep learning architectures that are inherently robust. The outcomes of this project will increase the security and reliability of computer vision by detecting, reporting and nullifying such attacks and will benefit the general public and industry on many fronts.Funded Activity Details
Start Date: 2019
End Date: 12-2023
Funding Scheme: Discovery Projects
Funding Amount: $426,000.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Computer Vision | Artificial Intelligence and Image Processing
ANZSRC Socio-Economic Objective (SEO)
Road Public Transport | Expanding Knowledge in the Information and Computing Sciences |
