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Advancing Human Perception: Countering Evolving Malicious Fake Visual Data (2023-2026)

Abstract

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.

Experts

Dr Xin Yu

ARC DECRA
School of Electrical Engineering and Computer Science
Faculty of Engineering, Architecture and Information Technology
Affiliate of Centre for Enterprise AI
Centre for Enterprise AI
Faculty of Engineering, Architecture and Information Technology
Xin Yu
Xin Yu