Past Meetup

ZK-TLV 0x03: on privacy in Machine Learning and MimbleWimble

This Meetup is past

110 people went

Location image of event venue

Details

For our third Zero Knowledge event, on January 23th, we are pleased to host two great speakers: Vladislav Gelfer and a special guest coming directly from NeurIPS, Morten Dahl.
We will be talking about Cryptographic Private Machine Learning and Privacy on Blockchain.

Schedule:
- 6.30pm: greetings, food and drinks
- 7pm: Vladislav Gelfer will present MimbleWimble high level concepts and existing implementations.
- 7.30pm: Morten Dahl will give a talk on Privacy Technologies for Machine Learning

The event will finish at 8.30pm.
Talks will be given in English.

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For more details, here the abstracts and bios of our speakers:

In this talk we focus on recent applications of advanced cryptographic methods to machine learning, in particular deep learning. After illustrating how tools such as homomorphic encryption and multi-party computation can benefit the machine learning process in terms of privacy and trust, we proceed to give a high-level overview of their underlying principles in order to understand differences, weaknesses, and strengths. As an example we show how a model can be trained on data that remain encrypted throughout the whole process. We do so using tf-encrypted, a library on top of TensorFlow for working with encrypted data.

Morten holds a PhD in cryptography and works in the intersection of privacy and machine learning. He is interested in practical tools and concrete applications, with a current focus on making advanced privacy-enhancing tools more accessible to practitioners. He is a recurrent speaker in the field and active in community building.

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MimbleWimble is a very capable protocol, which, after being published by an anonymous cryptographer 2 years ago, drew a lot of attention. In this talk I'd like to discuss MimbleWimble in-depth, argue why it's a sane payment system and how capable it is, and what can be built on top of it. With all that said, to build a truly anonymous payment system there are many important design decisions, and challenges are yet to be solved.

Vladislav Gelfer is lead core developer at Beam (https://www.beam.mw/)

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Join the discussion on the zero knowledge facebook group: https://www.facebook.com/groups/800441673459620/

The event is sponsored jointly by KZen (https://github.com/KZen-networks) and Samsung Next