Aaron Feickert, Ph.D.
Head of Research - Cypher Stack, mathematician and physicist whose current research focuses on privacy-preserving signature and proof constructions. He has extensive teaching and speaking experience in the fields of applied cryptography and computational science.

Sessions
In privacy-preserving transaction protocols, confidential asset designs permit transfer of quantities of distinct asset types in a way that obscures their types and values. Spark is a protocol that provides flexible privacy properties relating to addressing, transaction sources and recipients, and value transfer; however, it does not natively support the use of multiple confidential asset types or non-fungible tokens. Here we describe Spats, a new design for confidential assets and serialized tokens compatible with Spark that focuses on efficient and modular implementation. It does so by extending coin value commitments to bind and mask an asset type and identifier, and asserting in zero knowledge that they are maintained throughout transactions. We describe the cryptographic components and changes to the Spark protocol necessary for the design of Spats.