Poster: Privacy-Preserving Compliance Checks on Ethereum via Selective Disclosure

TL;DR

This paper introduces a privacy-preserving framework on Ethereum that allows users to prove eligibility criteria without revealing personal data, using zk-SNARKs, ensuring compliance with minimal latency.

Contribution

It presents a novel Selective Disclosure Framework leveraging zk-SNARKs for privacy-preserving attribute verification on blockchain.

Findings

Negligible client-side latency (< 200 ms) for compliance proofs

Framework effectively decouples attribute verification from identity disclosure

Case study demonstrates practical age verification implementation

Abstract

Digital identity verification often forces a privacy trade-off, where users must disclose sensitive personal data to prove simple eligibility criteria. As blockchain applications integrate with regulated environments, this over-disclosure creates significant risks of data breaches and surveillance. This work proposes a general Selective Disclosure Framework built on Ethereum, designed to decouple attribute verification from identity revelation. By utilizing client-side zk-SNARKs, the framework enables users to prove specific eligibility predicates without revealing underlying identity documents. We present a case study, ZK-Compliance, which implements a functional Grant, Verify, Revoke lifecycle for age verification. Preliminary results indicate that strict compliance requirements can be satisfied with negligible client-side latency (< 200 ms) while preserving the pseudonymous nature of public blockchains.