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个人简介
I actively research topics in machine learning, security & privacy, databases such as adversarial learning, differential privacy and record linkage.
As a full-time Researcher at Microsoft Research, Silicon Valley, I shipped production systems for entity resolution in Bing and the Xbox360; my research has helped identify and plug side-channel attacks against the popular Firefox browser, and deanonymise Victorian myki transport data and an unprecedented Australian Medicare data release, prompting introduction of the Re-identification Offence Bill 2016. Since joining Melbourne in 2013, I have been awarded $4.26m in competitive funding ($2.18m as lead). My work has been recognised through an Australian Research Council DECRA award, and a Young Tall Poppy Science award.
As a full-time Researcher at Microsoft Research, Silicon Valley, I shipped production systems for entity resolution in Bing and the Xbox360; my research has helped identify and plug side-channel attacks against the popular Firefox browser, and deanonymise Victorian myki transport data and an unprecedented Australian Medicare data release, prompting introduction of the Re-identification Offence Bill 2016. Since joining Melbourne in 2013, I have been awarded $4.26m in competitive funding ($2.18m as lead). My work has been recognised through an Australian Research Council DECRA award, and a Young Tall Poppy Science award.
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AAAIno. 7 (2023): 8861-8869
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2023 IEEE 39th International Conference on Data Engineering Workshops (ICDEW)pp.60-66, (2023)
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CoRR (2023): 953-967
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