The Optus Macquarie University Cyber Security Hub continues its series of public talks and is proud to welcome Senior Research Scientist at Google Brain and A/Prof in the Dept of Computer Science at University of California.

5 September 2019

4:00 pm - 6:30 pm

Room 121, MGSM, 99 Talavera Road

‘Differentially Private Frequency Estimation at Scale’


This talk is about designing scalable differentially private algorithms for computing statistics on highly distributed datasets (e.g., each individual data record resides on a cellphone). Differential privacy is a rigorous notion that ensures by looking at the outcome of statistical computation, an adversary does not gain any significant information about the presence (absence) of a data record in the underlying data set.


Abhradeep Guha Thakurta is a Senior Research Scientist at Google Brain and an Assistant Professor (on leave) in the Department of Computer Science at University of California Santa Cruz. His primary research interest is in the intersection of data privacyand machine learning. He focuses on demonstrating, both theoretically and in practice, that it is possible to design differentially private learning algorithms that can scale to industrial workloads. Prior to joining the academia, Abhradeep was a Senior MachineLearning Scientist at Apple, where he was the primary algorithm designer in deploying differential privacy on iOS 10, and macOS Sierra. This project is possibly one of the largest industrial deployments of differential privacy and has resulted in at least 200+ press articles, a follow-up paper at NIPS 2017, and four granted US patents. He won the Early Career Award in 2016 from Pennsylvania State University for the same project. Before Apple, Abhradeep worked as a post-doctoral researcher at Microsoft Research Silicon Valley and Stanford University, and then as a Research Scientist at Yahoo Research. He did his Ph.D. from Pennsylvania State University in 2013.

Talk & QandA 4pm – 5pm Please join us for canapes and drinks 5pm – 6.30pm

Registration and further information:

Information on parking click here

Information on getting to MGSM, click here


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Event contact

Shideh Modabber

9850 9568