Seeing Change: Science, Culture and Technology in the Antipodes from the age of Darwin - a multi-media research collaboration. To build a collaboration across the humanities, natural sciences, business technology and public culture sectors that will use new forms of digital and visual research to demonstrate the neglected importance of Australasia in the formation of nineteenth-century evolutionary thought and to suggest the relevance of these ideas to understanding contemporary issues of enviro ....Seeing Change: Science, Culture and Technology in the Antipodes from the age of Darwin - a multi-media research collaboration. To build a collaboration across the humanities, natural sciences, business technology and public culture sectors that will use new forms of digital and visual research to demonstrate the neglected importance of Australasia in the formation of nineteenth-century evolutionary thought and to suggest the relevance of these ideas to understanding contemporary issues of environmental sustainability and the development of frontier technologies within our society and region. Read moreRead less
MemberGuard: Protecting Machine Learning Privacy from Membership Inference. Machine Learning has become a core part of many real-world applications. However, machine learning models are vulnerable to membership inference attacks. In these attacks, an adversary can infer if a given data record has been part of the model's training data. In this project, the team aims to develop new techniques that can be used to counter these attacks, such as 1) new analytical models for membership leakage, 2) ne ....MemberGuard: Protecting Machine Learning Privacy from Membership Inference. Machine Learning has become a core part of many real-world applications. However, machine learning models are vulnerable to membership inference attacks. In these attacks, an adversary can infer if a given data record has been part of the model's training data. In this project, the team aims to develop new techniques that can be used to counter these attacks, such as 1) new analytical models for membership leakage, 2) new methods for susceptibility diagnosis, 3) new defences that leverage privacy and utility. Data-oriented services are estimated to be valuable assets in the future. These techniques can help Australia gain cutting edge advantage in machine learning security and privacy and protect its intellectual property on these services.Read moreRead less
DeepHoney: Automatic Honey Data Generation for Active Cyber Defence . This project aims to enhance the security of networks and information systems by empowering them with intelligent deception techniques to achieve proactive attack detection and defence. In recent times, the fictitious environment – honeypot designed by human experience becomes popular to attract attackers and capture their interactions. However, rules-based construction of honeypots fails in preserving the privacy, boosting th ....DeepHoney: Automatic Honey Data Generation for Active Cyber Defence . This project aims to enhance the security of networks and information systems by empowering them with intelligent deception techniques to achieve proactive attack detection and defence. In recent times, the fictitious environment – honeypot designed by human experience becomes popular to attract attackers and capture their interactions. However, rules-based construction of honeypots fails in preserving the privacy, boosting the attractiveness and evolving the system. The project expects to advance deep learning and yield novel DeepHoney technologies with associated publications and open-source software. This should benefit science, society, and the economy by building the next generation of active cyber defence systems. Read moreRead less
Ultrashort pulse laser for ultra-hard machine tools processing. This project aims to develop an advanced high-precision ultrashort pulse laser technique for shaping and sharpening cutting tools. It expects to generate new knowledge and new technology in machine tool fabrication using an innovative approach for processing ultra-hard materials. The expected outcome is progressive machining capabilities with higher throughput, significantly reduced production time and costs, and increased tool accu ....Ultrashort pulse laser for ultra-hard machine tools processing. This project aims to develop an advanced high-precision ultrashort pulse laser technique for shaping and sharpening cutting tools. It expects to generate new knowledge and new technology in machine tool fabrication using an innovative approach for processing ultra-hard materials. The expected outcome is progressive machining capabilities with higher throughput, significantly reduced production time and costs, and increased tool accuracy and life. This should provide significant economic and safety benefits for the advanced manufacturing industry, enabling production of high-performance products across cutting-edge industries including defence, aerospace, medical tools, automotive, and clean-energy technologies.Read moreRead less
Provable elimination of information leakage through timing channels. This project aims to develop techniques to solve the issue in information security of unauthorised information flow resulting from competition for shared hardware resources. The project will combine operating systems design, formal hardware models, information-flow reasoning and theorem proving to achieve a goal that is widely considered infeasible. The project is expected to result in a system that prevents leakage of critical ....Provable elimination of information leakage through timing channels. This project aims to develop techniques to solve the issue in information security of unauthorised information flow resulting from competition for shared hardware resources. The project will combine operating systems design, formal hardware models, information-flow reasoning and theorem proving to achieve a goal that is widely considered infeasible. The project is expected to result in a system that prevents leakage of critical information, such as encryption keys, through timing channels. This should prevent sophisticated attacks on public clouds, mobile devices and military-grade cross-domain devices.Read moreRead less
ARC Research Network in Enterprise Information Infrastructure. EII targets consolidated research towards the comprehensive development & establishment of advanced information infrastructures. Its prime purpose is to provide a forum for intellectual exchange by diverse yet complementary research groups, to address the fundamental research problems faced by scientific & business communities when dealing with deployment of information technology to globally distributed, and data intensive environme ....ARC Research Network in Enterprise Information Infrastructure. EII targets consolidated research towards the comprehensive development & establishment of advanced information infrastructures. Its prime purpose is to provide a forum for intellectual exchange by diverse yet complementary research groups, to address the fundamental research problems faced by scientific & business communities when dealing with deployment of information technology to globally distributed, and data intensive environments. EII will address 3 tightly coupled research themes: Ability to interoperate across existing heterogenous platforms & applications; Efficient processing of very large data sets; Technology adoption & impact. Generic results will be applicable to e-science and large business information systems installations.Read moreRead less
Developing Reliable Bio-Crypto Features for Mobile Template Protection. Cost of identity theft crimes were at multi-million dollars in Australia in 2007. Technically this is due to the fact that conventional personal identification number and token based security mechanisms cannot identify genuine users. Biometric fingerprint security systems emerge as a promising solution. However protection of the mobile embedded fingerprint template itself is an unresolved problem. The project aims to devel ....Developing Reliable Bio-Crypto Features for Mobile Template Protection. Cost of identity theft crimes were at multi-million dollars in Australia in 2007. Technically this is due to the fact that conventional personal identification number and token based security mechanisms cannot identify genuine users. Biometric fingerprint security systems emerge as a promising solution. However protection of the mobile embedded fingerprint template itself is an unresolved problem. The project aims to develop new ways designing bio-cryptosystems that provide strong security strength. The project will bring new body of knowledge into this field and place Australia in the forefront of this research, and also result in strengthened security of IT infrastructure and systems for industries.Read moreRead less
Intercultural understanding in primary and secondary schools. What facilitates or impedes intercultural understanding in children, adolescents and schools? How can this be addressed? How can we know what makes a difference? This project answers these questions at the individual, school and national level using a novel cultural systems approach and methodological and technological innovations.
A Multi-setting Intervention To Reduce Sedentary Behaviour, Promote Physical Activity And Improve Childrens Health
Funder
National Health and Medical Research Council
Funding Amount
$860,343.00
Summary
Sedentary behaviours and physical inactivity play a major role in the rising prevalence of obesity among children in Australia. This intervention study will take place in the school and family settings which play a critical role in shaping children's health behaviours. The objective is to determine whether a 2-year behavioural intervention reduces sedentary behaviour and promotes physical activity and results in improved health among 8-9 year old children.
Modern statistical methods for clustering community ecology data. This project will develop statistical methods and software for clustering community ecology data, and use them to analyse systematic survey and citizen science program data collected along the Great Barrier Reef. By doing so, the project will address the dearth of statistical classification techniques for high-dimensional, multi-response data with complex relationships. When the resultant clustering methods are used to construct b ....Modern statistical methods for clustering community ecology data. This project will develop statistical methods and software for clustering community ecology data, and use them to analyse systematic survey and citizen science program data collected along the Great Barrier Reef. By doing so, the project will address the dearth of statistical classification techniques for high-dimensional, multi-response data with complex relationships. When the resultant clustering methods are used to construct bioregions and characterise species’ environmental responses, they should significantly enhance evaluations of the impact of human activity and environmental change on coral diversity. Ultimately, these evaluations can underpin future decisions in the conservation and management of the Great Barrier Reef.Read moreRead less