AGAPECert: An Auditable, Generalized, Automated, Privacy-Enabling Certification Framework with Oblivious Smart Contracts
Servio Palacios, Aaron Ault, James V. Krogmeier, Bharat Bhargava,, Christopher G. Brinton

TL;DR
AGAPECert is a privacy-preserving certification framework that combines trusted execution environments and blockchain to enable auditable, real-time, aggregate certifications without exposing private data.
Contribution
It introduces a novel framework integrating oblivious smart contracts, TEEs, and blockchain for privacy-preserving, auditable certifications in regulated environments.
Findings
Enables private, verifiable certifications using oblivious smart contracts.
Maintains data privacy while ensuring trust through blockchain ordering.
Open-source framework adaptable to various regulated settings.
Abstract
This paper introduces AGAPECert, an Auditable, Generalized, Automated, Privacy-Enabling, Certification framework capable of performing auditable computation on private data and reporting real-time aggregate certification status without disclosing underlying private data. AGAPECert utilizes a novel mix of trusted execution environments, blockchain technologies, and a real-time graph-based API standard to provide automated, oblivious, and auditable certification. Our technique allows a privacy-conscious data owner to run pre-approved Oblivious Smart Contract code in their own environment on their own private data to produce Private Automated Certifications. These certifications are verifiable, purely functional transformations of the available data, enabling a third party to trust that the private data must have the necessary properties to produce the resulting certification. Recently, a…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
