Advancing Human Perception: Countering Evolving Malicious Fake Visual Data

提升人类感知：对抗不断演变的恶意虚假视觉数据

• 批准号: DE230100477
• 负责人: Dr Xin Yu
• 金额: $ 29.71万
• 依托单位: The University of Queensland
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Early Career Researcher Award
• 财政年份: 2023
• 资助国家: 澳大利亚
• 起止时间: 2023-06-01 至 2026-05-31
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DE230100477
• 关键词: Advancing; Human; Perception; Countering; Evolving

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.

该项目的目的是提供新的有效和可推广的deepfake检测方法，用于自动检测滥用人工智能（AI）技术生成的恶意操纵的视觉数据。它将展示创新的计算机视觉和图像处理知识和技术，使开发的方法能够提高人类识别虚假数据的感知能力，增强网络安全，并保护人工智能应用中的隐私。预期的结果应该为广泛的应用提供显着的好处，例如向媒体，政府组织和行业提供关于误导性虚假视觉数据的及时警报，并防止合成身份欺诈的金融犯罪。