What ZK can do for us: Privately Authenticating Real People (without third parties) and Auditing ML

Name: What ZK can do for us: Privately Authenticating Real People (without third parties) and Auditing ML
Duration: 1 h
Description: Daniel Kang explores how zero-knowledge proofs can privately authenticate real individuals without relying on third-party identity providers, and how the same cryptographic tools can audit machine learning models for integrity. The talk situates zero-knowledge machine learning within Zuzalu Montenegro 2023's discussions on privacy-preserving proof-of-personhood and verifiable AI systems.

Zuzalu Montenegro 2023 · 7 May 2023 · 1:00:00

Daniel Kang explores how zero-knowledge proofs can privately authenticate real individuals without relying on third-party identity providers, and how the same cryptographic tools can audit machine learning models for integrity. The talk situates zero-knowledge machine learning within Zuzalu Montenegro 2023's discussions on privacy-preserving proof-of-personhood and verifiable AI systems.

Speakers

Daniel Kang

From Zuzalu Montenegro 2023, hosted by Zuzalu.