Cryptographic protection of ML models

The security challenge is to protect ML models from leakage and massive accumulation, which leads to reverse engineering of unique IP. In this talk, Anastasiia explains building DRM-like protection with application level encryption using HPKE-like approach on ephemeral keys. She discusses risks, threats, dataflow, cryptographic layer, key management and integration with traditional application security controls for defense-in-depth approach.