zkML evolving into PPML -- ZK Jumpstart Series #3

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About Event

Hello ZK Community,

We're excited to introduce the ZK Jumpstart Series, brought to you by PSE. Our initiative is simple: to share our expertise in Zero-Knowledge technology and foster a skilled community capable of pushing the boundaries of privacy and scalability in blockchain.

Each month, we'll offer insights into ZK proofs, MPC, and emerging privacy technologies, directly from leading experts. PSE is committed to advancing blockchain technology, and through this series, we aim to equip you with the understanding necessary.
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☝️Speaker
Enrico Bottazzi (Twitter)

☝️Topic
zkML evolving into PPML
(present in English)

☝️What you will learn in this talk
Privacy-Preserving Machine Learning (PPML) guarantees that an ML inference function is performed such that the model owner doesn’t reveal the weights of the model and the user doesn’t reveal their input. Such an outcome cannot be achieved with zk only. The presentation will provide an analysis of how MPC techniques can be used to build a Privacy Preserving Machine Learning application.

☝️About Us
PSE is a multidisciplinary team creating open source privacy and scaling tools and for the next generation's internet.
Website: https://pse.dev/en
Youtube: https://www.youtube.com/@privacyscalingexplorations
Twitter: https://twitter.com/privacyscaling
Discord: https://discord.com/invite/sF5CT5rzrR

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