Can Foundation Models Help Us Achieve Perfect Secrecy?

Understand

A key promise of machine learning is the ability to assist users with personal tasks.

• Because the personal context required to make accurate predictions is often sensitive, we require systems that protect privacy.
• A gold standard privacy-preserving system will satisfy perfect secrecy, meaning that interactions with the system provably reveal no private information.
• However, privacy and quality appear to be in tension in existing systems for personal tasks.