Scotland Data Science & Technology MeetUp: Anonymised Machine Learning with Distributed -full title is in the event details

This is a joint Scotland Data Science & Technology and Scottish Blockchain Meetup

Title: Towards Anonymization for Learning, Transactions and Credentials Within Distributed Trust Infrastructures

Speakers: Will Abramson, Liam Bell, Bill Buchanan, Adam Hall: Blockpass ID Lab.

Date: Tuesday 25th June 2019 @ 6pm

Outline:

GDPR defines an increased focused on encryption and pseudo-anonymization. But many recent data breaches have shown that organisations often have poor practice when it comes to the anonymisation of personally identifiable information. And so, in future systems, we need to focus on the anonymisation the lowest layers of our data gathering, and then identify methods of revealing the information. But how are we going to apply machine learning into infrastructure which use encrypted data? And how are we going to identify individuals within anonymised infrastructures? And how are we going to be able to regulate for consent, privacy and governance?

This Meetup will outline current research into areas such as machine learning on encrypted data, anonymised and trusted credentials, range proofs, and in the trusted deletion of data.

Speakers:
Anonymised and Distributed Machine Learning, Adam Hall. 20 min - www.linkedin.com

Trusted Deletion of Data, Liam Bell. 20 min - www.linkedin.com

Anonymised and Trusted Credentials, Will Abramson. 20 min.
Range Proofs, Mimblewimble, and other Crypto Magic, Prof Bill Buchanan. 20 min - www.linkedin.com

to (Europe/London time)

More details and get tickets from: www.meetup.com

Imported From: www.meetup.com

More Information

This is a group for anyone interested in Data Science, Big Data, Analytics and Technology trends. We started this group to build a community to discuss general insights into the market and share personal experiences of working and operating in this area. We hope to cover skills shortages, technological advancements and organisational implications in Data Science and Technology during our series of meetups. All skill levels are welcome.