Advances in Artificial Intelligence and machine learning techniques are enabling extensive capabilities in extracting analytics and insights allowing an unprecedented rise of data-driven economy that finds applications in diverse sectors ranging from smart manufacturing and smart transportation to predictive maintenance and precision healthcare. This however raises several privacy and security concerns.
This research will focus on identifying and mitigating data privacy issues relating to AI and machine learning inference models. In particular, the project aims at identifying and quantifying information leakage happening when inference models process data features and extract insights from personal data. One special area of interest is the understanding of threats related to differentiating attacks where adversaries hold different versions of an AI inference model. This can be illustrated by cloud providers having access to different models of analytics extraction after events of end-users opting out from some analytics services. The project will also explore the intersection between privacy risks and malicious activity pertaining to the use of personal information such as spear phishing.
This opportunity is open to all registered Australian Universities and Australian Publicly Funded Research Agencies.
- Successful applicants must be able to meet the milestones and timelines outlined in their submission.
- Successful applicants must enter into a Data61 University Collaboration Agreement.
- Successful applicants will enter into the appropriate contracting arrangement within 3 weeks of announcement.
Terms and Conditions
Proposals submitted will be assessed equally on the following criteria:
- Alignment to Defence strategy and the project priorities articulated in this document
- Future science criticality
- Collaboration depth (e.g. Collaboration with DST staff, Data61 staff, other universities, an industry partner, etc.)
- Delivery of outcomes (e.g. the ability of the proposal to deliver the agreed outcomes and milestones).
- Game changing potential to Defence
Please limit submissions to no more than 2000 words. Ensure that all contact details, current and potential DST, Data61 collaborators and/or research partner details are on a separate page/covering sheet. The proposals will be de-identified during the selection process to eliminate any potential conflicts of interest.
Defence and Data61 reserves the right to fund all, some or none of the proposals received under this Call for Applications.
Contracts and Intellectual Property
Successful applicants will be required to enter into a Data61 University Collaboration Agreement and a subsidiary Collaborative Research Project Agreement with Data61 in order to access project funding. Data61 will enter into contracts with the lead party in each proposal.
Any IP generated as part of the projects will vest in Data61 unless otherwise agreed, and Defence will receive a license for Commonwealth purposes only.
Any Commonwealth funding contributed to the projects will be paid in accordance with successful completion of milestones and as negotiated by the parties. Where circumstances necessitate it is possible for a small payment to be made upon execution of the agreement and in accordance with Defence procurement rules.
How to Apply
Please submit via the DST portal.
Proposals are to be submitted by 4.30pm Australian Eastern Daylight Time (AEDT), 15 August 2018. Only projects submitted via email to Cyber-NGTF@dst.defence.gov.au by the above deadline will be considered in this round.
For further information or assistance, please contact: