Explore a groundbreaking conference talk on federated anonymous blocklisting using hidden common input aggregate proofs. Delve into the innovative SNARKBlock system presented by researchers from the University of Maryland and the Ethereum Foundation. Learn how this cutting-edge technology combines privacy-preserving techniques with blockchain technology to create a secure and anonymous blocklisting mechanism. Gain insights into the potential applications and implications of this system for enhancing privacy and security in various digital environments.
SNARKBlock - Federated Anonymous Blocklisting from Hidden Common Input Aggregate Proofs
Overview
Syllabus
SNARKBlock: Federated Anonymous Blocklisting from Hidden Common Input Aggregate Proofs
Taught by
IEEE Symposium on Security and Privacy
Tags
Related Courses
-
A2L: Anonymous Atomic Locks for Scalability in Payment Channel Hubs
-
On the Anonymity Guarantees of Anonymous Proof-of-Stake Protocols
-
Bulletproofs - Short Proofs for Confidential Transactions and More
-
CanDID: Bootstrapping Decentralized Identity from Legacy Providers
-
ELSA - Secure Aggregation for Federated Learning with Malicious Actors
-
Flamingo - Multi-Round Single-Server Secure Aggregation with Applications to Private Federated Learning
