machine learning

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.