Our data privacy vs the algorithm

The future of data privacy in the era of machine learning.

Machine learning is touted as the frontier set to revolutionise our social world. However, as cases of data privacy breaches become common, questions are being asked about this technology’s use of our sensitive data.

Are privacy breaches the necessary price for the progress promised by machine learning? Is privacy even something we can expect in the age of AI?

Computer scientist Clément will discuss what can and cannot be done about data privacy in machine learning, from a technological point of view. What’s more, he will explore whether wrestling back control over our data can come from the algorithms themselves.

Bio

Clément Canonne is an ARC DECRA Fellow, and a Lecturer in the School of Computer Science at the University of Sydney. He obtained his PhD in 2017 from Columbia University, before joining Stanford as a Motwani Postdoctoral Fellow and then IBM Research as a Goldstine Postdoctoral Fellow.

Clément’s research focuses on understanding the fundamental limits of machine learning and developing principled approaches to data privacy.

Also speaking at the Abercrombie at 8:00PM is Janet Salem

About the venue - The Abercrombie

The Abercrombie has undergone an incredible transformation with three venues now under the one roof.

On ground floor is the Abercrombie’s incredible club space with a state of the art sound system, public bar, and beer garden with a full pub menu and pizza by the slice.

For a more relaxed atmosphere, venture upstairs to Casa Rosa, a playful, late-night Italo-disco cocktail lounge and rooftop terrace with an eclectic mix of DJs on high rotation throughout the week.

Head into the adjoining terraces, for Chippendale's (very) late-night wine bar and shop, Lil Sis. Inspired by the charming ‘cave à vins’ found in the neighbourhoods of Paris.