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
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
ARC Centre of Excellence for Robotic Vision. Robots are vital to Australia's future prosperity in the face of high relative wages, low or decreasing productivity, and impending labour shortages. However the work and workplaces of our most important industries are unstructured and changeable and current robots are challenged by their inability to quickly, safely and reliably "see" and "understand" what is around them. The Centre's research will create the fundamental science and technologies th ....ARC Centre of Excellence for Robotic Vision. Robots are vital to Australia's future prosperity in the face of high relative wages, low or decreasing productivity, and impending labour shortages. However the work and workplaces of our most important industries are unstructured and changeable and current robots are challenged by their inability to quickly, safely and reliably "see" and "understand" what is around them. The Centre's research will create the fundamental science and technologies that will allow robots to see as we do, and overcome the last barrier to the ubiquitous deployment of robots into society for the benefit of all.Read moreRead less
Special Research Initiatives - Grant ID: SR0354839
Funder
Australian Research Council
Funding Amount
$10,000.00
Summary
Transforming Knowledge Spaces: Open Technologies for Research Collaboration and Research Communication
. Technology has the potential to transform the means for scholarly collaboration and communication. Our proposal will achieve this potential, by deploying open source infrastructures to create new communication platforms. The Initiative will itself use collaborative writing systems to construct and energise the Network, which will match researchers requiring these new technologies with thos ....Transforming Knowledge Spaces: Open Technologies for Research Collaboration and Research Communication
. Technology has the potential to transform the means for scholarly collaboration and communication. Our proposal will achieve this potential, by deploying open source infrastructures to create new communication platforms. The Initiative will itself use collaborative writing systems to construct and energise the Network, which will match researchers requiring these new technologies with those who have the skills to build them. The outcomes will be an increase in the efficiency of traditional research collaborations as well as new kinds of collaboration and communication, for researchers and consumers of research across a range of disciplines.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
Detecting Supervisory Control and Data Access (SCADA) malicious programs to protect Australian critical infrastructure. The security of SCADA systems has enormous impact to our national security and economy because they control and monitor critical infrastructure, like power, gas and water facilities and nuclear power plants, etc. This project aims to investigate the security issues and provide innovative technological solutions to detect and prevent such problems.
Mathematical, logical and computational foundations of hybrid control systems, and their application to design and synthesis problems in control engineering. Hybrid control systems are mathematical models of heterogeneous systems consisting of digital computer components interacting in real-time with continuous physical processes. Their many engineering applications include air traffic control, medical technology and automated transport. Motivated by such safety-critical and high-confidence appl ....Mathematical, logical and computational foundations of hybrid control systems, and their application to design and synthesis problems in control engineering. Hybrid control systems are mathematical models of heterogeneous systems consisting of digital computer components interacting in real-time with continuous physical processes. Their many engineering applications include air traffic control, medical technology and automated transport. Motivated by such safety-critical and high-confidence applications, the project aims to develop a unified framework of mathematical logics adequate to formally represent and reason about the structure, behaviour, and properties of hybrid control systems, and use this to develop methodologies for automatically synthesising hybrid control programs that are provably correct with respect to their specifications. Other outcomes include prototype software implementations of hybrid controller design tools.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0989347
Funder
Australian Research Council
Funding Amount
$350,000.00
Summary
CYCLOPS - A Better Way to Find Extrasolar Planets. The primary scientific driver for this new facility is the search for planets orbiting other stars. Australian astronomers, and the Anglo-Australian Telescope, have played a leading role in this new frontier for astronomy, detecting 25 of the 250-odd extrasolar planets known to orbit nearby stars. The CYCLOPS project brings together a team of leading Australian astronomers to build on this track record with a new facility that further advances A ....CYCLOPS - A Better Way to Find Extrasolar Planets. The primary scientific driver for this new facility is the search for planets orbiting other stars. Australian astronomers, and the Anglo-Australian Telescope, have played a leading role in this new frontier for astronomy, detecting 25 of the 250-odd extrasolar planets known to orbit nearby stars. The CYCLOPS project brings together a team of leading Australian astronomers to build on this track record with a new facility that further advances Australia's capabilities in both this field, and several other high-profile astronomical endeavours: including the study of seismology in stellar interiors, the detailed measurement of elemental abundances in stars throughout our Galaxy, and the mapping of spot features on the surfaces of stars.Read moreRead less
Adaptive data stream processing in heterogeneous distributed computing environments using real-time context. This project falls within the ARC research priority goal, Smart Information Use. The innovative contributions of this project through the development of adaptive data stream mining algorithms for heterogeneous devices will have an impact on a range of emerging application areas such as:
1. Meeting time-critical, intelligent information needs of the mobile workforce (e.g. mobile healthca ....Adaptive data stream processing in heterogeneous distributed computing environments using real-time context. This project falls within the ARC research priority goal, Smart Information Use. The innovative contributions of this project through the development of adaptive data stream mining algorithms for heterogeneous devices will have an impact on a range of emerging application areas such as:
1. Meeting time-critical, intelligent information needs of the mobile workforce (e.g. mobile healthcare professionals, stockbrokers). 2. Improving Intelligent Transportation Systems via in-vehicle analysis and crash prevention. 3. Facilitating 'on-board' analysis in sensors that monitor the environment and patients. The project will enhance Australia's leading international role in the area of data stream processing in distributed computing environments.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE160100090
Funder
Australian Research Council
Funding Amount
$250,000.00
Summary
Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models:
The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object ....Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models:
The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object recognition in images, speech recognition and automatic translation, bringing the prospect of machine intelligence closer than ever. Modern machine learning techniques have had huge impact in the last decade in fields such as robotics, computer vision and data analytics. The facility would enable Australian researchers to develop, learn and apply deep networks to problems of national importance in robotic vision and big data analytics. Read moreRead less