UPDF AI

Asymmetric Message Franking: Content Moderation for Metadata-Private End-to-End Encryption

Nirvan Tyagi,Paul Grubbs,2 Authors,Thomas Ristenpart

2019 · DOI: 10.1007/978-3-030-26954-8_8
IACR Cryptology ePrint Archive · 51 Citations

TLDR

This research presents a novel approach to content moderation in metadata-private messaging systems, such as Signal, where users can hide their identities from platform providers.