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Grant Award View - GA268669
Advancing Human Perception: Countering Evolving Malicious Fake Visual...
GA ID:
GA268669
Agency:
Australian Research Council
Approval Date:
29-Sep-2022
Publish Date:
5-Oct-2022
Category:
Humanities, Arts and Social Sciences (HASS) Research
Grant Term:
1-Jun-2023 to 31-May-2026
Original: 1-Jan-2023 to 31-Dec-2025
Value (AUD):
$421,554.00
(GST inclusive where applicable)
Variations:
- GA268669-V1 - Variation to Grant (24-Jul-2023 )
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 22/23 Discovery
Grant Program:
Discovery Early Career Researcher Award
Grant Activity:
Advancing Human Perception: Countering Evolving Malicious Fake Visual Data
Purpose:
The aim of this project is to provide new effective and generalisable deepfake detection methods for automatically detecting maliciously manipulated visual data generated by misused artificial intelligence (AI) techniques. It will present innovative computer vision and image processing knowledge and techniques, enabling the developed methods to advance human perception in recognising fake data, enhance cybersecurity, and protect privacy in AI applications. The anticipated outcomes should provide significant benefits to a wide range of applications, such as providing timely alerts to the media, government organisations, and the industry about misleading fake visual data, and preventing financial crimes on synthetic identity fraud.
GO ID:
GO Title:
Discovery Early Career Researcher Award for funding commencing in 2023
Internal Reference ID:
DE23 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
The University of Queensland
Recipient ABN:
63 942 912 684
Grant Recipient Location
Suburb:
ST LUCIA
Town/City:
ST LUCIA
Postcode:
4067
State/Territory:
QLD
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
QLD
Postcode:
4067
Country:
AUSTRALIA