Global Citizen Deliberation: Analysing a Deliberative Documentary. The project will enact and film the world’s first truly global citizens’ deliberation, a global citizens’ assembly (GCA) on genome editing, and proceed to analyse the impact of the ‘deliberative documentary’ film on public understanding of complex, fast-evolving science and technology. It will investigate the cross-cultural capacity of citizens to deliberate complex value-laden issues, and so ascertain prospects for an informed g ....Global Citizen Deliberation: Analysing a Deliberative Documentary. The project will enact and film the world’s first truly global citizens’ deliberation, a global citizens’ assembly (GCA) on genome editing, and proceed to analyse the impact of the ‘deliberative documentary’ film on public understanding of complex, fast-evolving science and technology. It will investigate the cross-cultural capacity of citizens to deliberate complex value-laden issues, and so ascertain prospects for an informed global public response to challenges posed by genome editing. Research will test the effects of the deliberative documentary on viewers, examining benefits of communicating complex issues via the work of the GCA. Other benefits include improving public trust in governance and advancing the Australian film industry.
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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
Marine spatial planning (MSP) has emerged in recent years as a tool for sea use management. However, MSP requires adequate and accurate information on the biophysical state and usage of the marine environment. Such data often exists, but generally not in a format which allows several data layers to be overlaid in order to identify potential conflicts/trade-offs.
Marine information management and data science are developing areas of research addressing how to easily access, collate and u ....Marine spatial planning (MSP) has emerged in recent years as a tool for sea use management. However, MSP requires adequate and accurate information on the biophysical state and usage of the marine environment. Such data often exists, but generally not in a format which allows several data layers to be overlaid in order to identify potential conflicts/trade-offs.
Marine information management and data science are developing areas of research addressing how to easily access, collate and use multiple disparate sources of data to support marine ecosystem and resource management. Significant efforts are made to standardize the collection, reporting and open access to marine data in existing databases and platforms, but these platforms commonly use specific (and differing) sources and types of data. Challenges arise from disparities in spatiotemporal resolution, uncertainty in geographic positioning, diversity of data sources and types, lack of access, and often limited metadata standards within and across scientific disciplines. To address this problem, this project will identify, compile and standardize spatially-resolved datasets required for marine social-ecological system management for Tasmanian State waters. No new field-based data will be collected, although secondary analysis may create new datasets. Rather than duplicating effort, this project builds on accessible databases and platforms to provide recommendations on the availability and best practices of using marine data to support data-driven decision-making processes in Tasmanian waters.
Perhaps more importantly, this project will also compare various off-the-shelf tools to identify trade-offs at various scales and resolutions of interest. Currently, many off-the-shelf spatial multi-criteria decision-analysis tools and methods exist (e.g. Marxan, CommunityViz, SSANTO…). More have been developed for more specific uses (e.g. the Aquaspace tool - developed to plan trade-offs with aquaculture in Europe). Research is required to identify the most appropriate tools for use in identifying conflicts/trade-offs in Tasmanian waters, given the needs of decision-makers and the available data.
Finally, this project will provide planning for database longevity. Objectives: 1. Identify, collate and create database of available spatially-resolved environmental, resource use, and cultural heritage data for Tasmania’s state waters 2. Develop an interactive web-based mapping service to display and download Tasmania’s Marine Atlas data 3. Analyse and compare existing trade-off tool(s), to be used in conjunction with Tasmania’s Marine Atlas, for use in decision-making 4. Establish protocols for ongoing updates (automatic and manual) to, and management of, Tasmania’s Marine Atlas database Read moreRead less
Privacy-preserving data processing on the cloud. This project aims to address the current lack of privacy of user data processed by common cloud computing web servers, including email, business data, and confidential files. This project aims to develop new techniques in cryptography. The anticipated outcome is a suite of practical tools enabling common cloud computing processing operations such as search, statistical analysis, and multi-user access control, to be performed efficiently while pres ....Privacy-preserving data processing on the cloud. This project aims to address the current lack of privacy of user data processed by common cloud computing web servers, including email, business data, and confidential files. This project aims to develop new techniques in cryptography. The anticipated outcome is a suite of practical tools enabling common cloud computing processing operations such as search, statistical analysis, and multi-user access control, to be performed efficiently while preserving the data privacy. These tools should provide significant benefits to the privacy of cloud users, as well as financial and reputation benefits to the IT industry, by significantly reducing the likelihood of massive user data privacy breaches in the event of a cyber-hacking attack on the cloud server.Read moreRead less
Developing A Smart Farming Oriented Secure Data Infrastructure. Smart farming is the future of agriculture. However, recently the Federal Bureau of Investigation has issued a
warning that the lack of data privacy and cyber security mechanisms in the field runs a high risk of disaster. This
project aims to establish an innovative secure data infrastructure for smart farming including secure and automated smart farming supply-chain management. The deliverables of this project will include the cutt ....Developing A Smart Farming Oriented Secure Data Infrastructure. Smart farming is the future of agriculture. However, recently the Federal Bureau of Investigation has issued a
warning that the lack of data privacy and cyber security mechanisms in the field runs a high risk of disaster. This
project aims to establish an innovative secure data infrastructure for smart farming including secure and automated smart farming supply-chain management. The deliverables of this project will include the cutting-edge Blockchain based secure IoT data management and privacy-preserving smart contracts for smart farming supply-chain management. This data infrastructure will be the first of its kind which will lay a solid foundation for smart farming technology.Read moreRead less
Next generation garbage collection: discovery, design, and development. This project aims to improve the performance of programming languages used by millions of Australians every day, such as Java, JavaScript and PHP by developing improved memory-management algorithms. These languages use what is referred to as “garbage collection” to ensure memory is managed without data loss, but do so conservatively and consequently cause performance challenges and energy overheads. This project expects to p ....Next generation garbage collection: discovery, design, and development. This project aims to improve the performance of programming languages used by millions of Australians every day, such as Java, JavaScript and PHP by developing improved memory-management algorithms. These languages use what is referred to as “garbage collection” to ensure memory is managed without data loss, but do so conservatively and consequently cause performance challenges and energy overheads. This project expects to provide these languages with improved memory-management algorithms, and provides researchers and industry with a framework for innovation. This project will enable safe software that is more efficient on today's hardware and able to exploit emerging hardware. This project should lead to better performance and energy savings for server applications, phones, watches, and smart appliances, while ensuring memory safety.Read moreRead less
SenShaMart: A Trusted Internet of Things Marketplace for Sensor Sharing. This project aims to devise a novel Internet of Things (IoT) sensor sharing marketplace that permits IoT applications to discover, integrate, and pay for any IoT sensor data that is made available by other parties. The project will devise highly-scalable sensor classification, query processing, and transactions solutions and incorporate them in a pair of novel blockchains that work in tandem to securely manage all the infor ....SenShaMart: A Trusted Internet of Things Marketplace for Sensor Sharing. This project aims to devise a novel Internet of Things (IoT) sensor sharing marketplace that permits IoT applications to discover, integrate, and pay for any IoT sensor data that is made available by other parties. The project will devise highly-scalable sensor classification, query processing, and transactions solutions and incorporate them in a pair of novel blockchains that work in tandem to securely manage all the information and contracts needed by IoT applications to discover, integrate, pay, and use sensors provided by another parties. These IoT advancements will provide significant economic, environmental, and social benefits via making low-cost and immediate sensing available across the world.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200100863
Funder
Australian Research Council
Funding Amount
$405,398.00
Summary
Privacy Coupling: When Your Personal Devices Betray You. This project aims to propose novel privacy preserving schemes that can protect the privacy of individuals in the era of Internet of things and machine learning. In the recent years, most Australian organizations have been a target of privacy and cybersecurity attacks, affecting their data and network systems. The expected outcomes of this project are privacy preserving schemes that can prevent attackers from compromising the private inform ....Privacy Coupling: When Your Personal Devices Betray You. This project aims to propose novel privacy preserving schemes that can protect the privacy of individuals in the era of Internet of things and machine learning. In the recent years, most Australian organizations have been a target of privacy and cybersecurity attacks, affecting their data and network systems. The expected outcomes of this project are privacy preserving schemes that can prevent attackers from compromising the private information of individuals in IoT and machine learning services, and thus significantly improve the protection against cybersecurity attacks. Significant benefits in social wellbeing and security are expected for all industry, government, and service sectors that collect data about people.Read moreRead less