Benjamin I. P. Rubinstein, PhD (Berkeley)

Professor & AI co-lead, School of Computing and Information Systems
Associate Dean (Research), Faculty of Engineering and Information Technology
The University of Melbourne, Australia

I actively research topics in machine learning, security & privacy, databases such as adversarial learning, differential privacy and record linkage. Prior to joining the University of Melbourne in 2013, I enjoyed four years in industry research labs including Microsoft Research Silicon Valley and IBM Research Australia, and received the PhD (Computer Science) from UC Berkeley in 2010. I have been part of teams that have: analysed privacy at the Australian Bureau of Statistics, a major bank, and Transport for NSW; robustness of translation systems to data poisoning attacks with Facebook; helped identify and plug side-channel attacks against the Firefox browser; deanonymised Victorian Myki transport data and an unprecedented Australian Medicare data release, prompting introduction of the Re-identification Offence Bill 2016; developed scalable Bayesian approaches to record linkage tested by U.S. Census; and shipped production systems for entity resolution in Bing and the Xbox360. Since joining Melbourne in 2013, I have been awarded $4.68m in competitive funding ($2.26m as lead). I co-lead the CATCH Joint MURI-AUSMURI which has been funded over AUD $8m to convene a team of 16 experts across 7 universities for fundamental discovery in robust human-AI teams for cybersecurity.