Empowering Australia’s Visual Arts via Creative Blockchain Opportunities. This project investigates the provision of a blockchain-based solution for protecting the intellectual property and provenance of visual art, and ways to empower its economic, cultural, and social value and benefits. By exploring innovative non-fungible token (NFT) opportunities in a global cyber security context, we will co-design a user-friendly and compliant tool for expanding the creation and movement of art on existin ....Empowering Australia’s Visual Arts via Creative Blockchain Opportunities. This project investigates the provision of a blockchain-based solution for protecting the intellectual property and provenance of visual art, and ways to empower its economic, cultural, and social value and benefits. By exploring innovative non-fungible token (NFT) opportunities in a global cyber security context, we will co-design a user-friendly and compliant tool for expanding the creation and movement of art on existing virtual galleries and smart contract-enabled platforms. Building on interdisciplinary synergies between creative and IT practices, we will interrogate the efficacy, risks and governance surrounding this global technology, and produce vital new knowledge for engaging with risks and opportunities in the digital economy.Read moreRead less
Learning to Pinpoint Emerging Software Vulnerabilities. This project aims to develop learning-based software vulnerability detection techniques to improve the reliability and security of modern software systems. The existing techniques relying on conventional yet rigid software analysis and testing techniques are ineffective and/or inefficient when detecting a wide variety of emerging software vulnerabilities. The outcomes of this project will be a deep-learning-based detection approach and an ....Learning to Pinpoint Emerging Software Vulnerabilities. This project aims to develop learning-based software vulnerability detection techniques to improve the reliability and security of modern software systems. The existing techniques relying on conventional yet rigid software analysis and testing techniques are ineffective and/or inefficient when detecting a wide variety of emerging software vulnerabilities. The outcomes of this project will be a deep-learning-based detection approach and an open-source tool that can capture precision correlations between deep code features and diverse vulnerabilities to pinpoint emerging vulnerabilities without the need for bug specifications. Significant benefits include greatly improved quality, reliability and security for modern software systems.Read moreRead less