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
Scalable & Accountable Privacy-Preserving Blockchain with Enhanced Security. This project aims to address the scalability and accountability of privacy-preserving blockchain by advancing cryptographic techniques. This project expects to develop scalable protocols for privacy-preserving blockchain while also adding accountability for authority to trace cyber crime activities, which is a missing piece in any state-of-the-art public blockchain system. Expected outcomes of this project include not o ....Scalable & Accountable Privacy-Preserving Blockchain with Enhanced Security. This project aims to address the scalability and accountability of privacy-preserving blockchain by advancing cryptographic techniques. This project expects to develop scalable protocols for privacy-preserving blockchain while also adding accountability for authority to trace cyber crime activities, which is a missing piece in any state-of-the-art public blockchain system. Expected outcomes of this project include not only practical solutions for protecting sensitive data recorded in blockchain but also crucial techniques to make the blockchain accountable for practical applications with enhanced security. This project provides significant benefits, such as building a trusted environment for sensitive transactions in the digital economy.Read moreRead less
Domain-specific visual languages for big data analytics applications. This project aims to invent domain-specific visual languages and support model-driven engineering based infrastructure so domain experts can specify, generate and apply complex data analytics and visualisation techniques. Many domains, including intelligent transport, business intelligence, and population health, need more effective “big data” analytics and visualisation. A challenge is to combine detailed domain knowledge – w ....Domain-specific visual languages for big data analytics applications. This project aims to invent domain-specific visual languages and support model-driven engineering based infrastructure so domain experts can specify, generate and apply complex data analytics and visualisation techniques. Many domains, including intelligent transport, business intelligence, and population health, need more effective “big data” analytics and visualisation. A challenge is to combine detailed domain knowledge – what the data means and what it can be used for – with sophisticated, scalable computational techniques to mine and present information from the huge volumes of raw data. This project is expected to improve productivity and quality of big data analytics and visualisation in critical domains.Read moreRead less
Preventing sensitive data exfiltration from insiders . Confidential data such as military secrets or intellectual property must never be disclosed outside the organisation; formally protecting data exfiltration from insider attacks is a major challenge. This project aims to develop a pattern matching based systematic methodology for data exfiltration in database systems. We will devise highly accurate detection tools and secure provenance techniques that can effectively protect against insider a ....Preventing sensitive data exfiltration from insiders . Confidential data such as military secrets or intellectual property must never be disclosed outside the organisation; formally protecting data exfiltration from insider attacks is a major challenge. This project aims to develop a pattern matching based systematic methodology for data exfiltration in database systems. We will devise highly accurate detection tools and secure provenance techniques that can effectively protect against insider attacks. The outcomes of the project will incorporate new security constraints and policies raised by emerging technologies to enable better protection of sensitive information. Read moreRead less
Metamorphic slices and their applications in fault localization. The main purpose of this project is to enhance the quality of software. The expected outcomes include the delivery of new cost-effective methods to debug software, and the extension of current debugging methods to be applicable in wider contexts.
Self Discovery, Self Configuration and Self Healing of Enterprise Grids. Firstly, the project will assist the elevation of grid computing into mainstream computing, and by this provide a direct response to some problems identified by the working party on the Australia's ICT research and research training. Secondly, our country is an excellent consumer of IT technology. But, it needs software artifacts that could be sold. A set of proposed services will be a saleable commodity of great commercial ....Self Discovery, Self Configuration and Self Healing of Enterprise Grids. Firstly, the project will assist the elevation of grid computing into mainstream computing, and by this provide a direct response to some problems identified by the working party on the Australia's ICT research and research training. Secondly, our country is an excellent consumer of IT technology. But, it needs software artifacts that could be sold. A set of proposed services will be a saleable commodity of great commercial value. A software company that will develop its commercial version could be set up. Thirdly, the project will help Early Career Researchers in gaining an experience necessary to carry out independent research and assist in training new researchers: Postdocs, PhDs and Masters.Read moreRead less
Mapping the Effectiveness of Automated Software Testing. This project aims to help software engineers build complex software systems in far more reliable and cost-effective ways. It takes an interdisciplinary approach by applying machine learning techniques to automatically test complex software systems. Expected outcomes include a novel methodology for assessing the strengths and weaknesses of test suites generated by automated software testing techniques and the approaches required for generat ....Mapping the Effectiveness of Automated Software Testing. This project aims to help software engineers build complex software systems in far more reliable and cost-effective ways. It takes an interdisciplinary approach by applying machine learning techniques to automatically test complex software systems. Expected outcomes include a novel methodology for assessing the strengths and weaknesses of test suites generated by automated software testing techniques and the approaches required for generating high-quality test cases. Such advances are urgently needed to avoid disasters when deploying software systems in the real world.Read moreRead less
Metamorphic Testing: An In-Depth Study to Enhance the Failure-Detection Capability of Software Testing Without an Oracle. Nowadays, software is pervasive and ubiquitous. It plays a significant role in the daily lives of all kinds of people. The Australian software industry has bloomed in recent years. Our research results will improve the cost-effectiveness of software development, thereby upgrading the nation's software productivity and quality. These factors are conducive to the export of soft ....Metamorphic Testing: An In-Depth Study to Enhance the Failure-Detection Capability of Software Testing Without an Oracle. Nowadays, software is pervasive and ubiquitous. It plays a significant role in the daily lives of all kinds of people. The Australian software industry has bloomed in recent years. Our research results will improve the cost-effectiveness of software development, thereby upgrading the nation's software productivity and quality. These factors are conducive to the export of software produced by Australians and helpful in raising our nation's competitive advantage towards the goal of becoming a leading nation in the software industry among Asia-Pacific countries.Read moreRead less
A Comprehensive Testing Methodology for Embedded Software. Embedded systems are a bedrock technology for many high-technology industries. They are used in many safety-critical situations, such as medical devices and car control systems, amongst hundreds of other applications. Unfortunately, current practice still sometimes results in disastrous mistakes remaining undetected, leading to multi-million dollar losses and in some cases even deaths. Improved testing methods for these systems offer ....A Comprehensive Testing Methodology for Embedded Software. Embedded systems are a bedrock technology for many high-technology industries. They are used in many safety-critical situations, such as medical devices and car control systems, amongst hundreds of other applications. Unfortunately, current practice still sometimes results in disastrous mistakes remaining undetected, leading to multi-million dollar losses and in some cases even deaths. Improved testing methods for these systems offer the potential of reducing such catastrophic losses. Improved embedded system testing techniques can offer Australia a competitive advantage in this strategically important industry. We will work to distribute our results to the Australian embedded systems community.Read moreRead less
Job Scheduling Strategies for General-Purpose High-Performance Computing Clusters. High-performance computing is moving away from specialised platforms to cheaper clusters and it is expected that clusters will become the mainstream computing platforms for general-purpose applications. One major problem that hinders the application of clusters is the lack of effective scheduling facilities to efficiently allocate system resources to meet the performance requirements of various applications. We sh ....Job Scheduling Strategies for General-Purpose High-Performance Computing Clusters. High-performance computing is moving away from specialised platforms to cheaper clusters and it is expected that clusters will become the mainstream computing platforms for general-purpose applications. One major problem that hinders the application of clusters is the lack of effective scheduling facilities to efficiently allocate system resources to meet the performance requirements of various applications. We shall design a new and innovative job scheduling system to solve this problem. The emphasis will be on practical designs in the context of real operating systems. The successful completion of this research will greatly promote a wide application of clusters.Read moreRead less