Results for "privacy guarantees"

A theoretical framework analyzing what classes of functions can be learned, how efficiently, and with what guarantees.

Mathematical guarantees of system behavior.

A formal privacy framework ensuring outputs do not reveal much about any single individual’s data contribution.

Stepwise reasoning patterns that can improve multi-step tasks; often handled implicitly or summarized for safety/privacy.

Artificially created data used to train/test models; helpful for privacy and coverage, risky if unrealistic.

A discipline ensuring AI systems are fair, safe, transparent, privacy-preserving, and accountable throughout lifecycle.

Privacy risk analysis under GDPR-like laws.

Attacks that infer whether specific records were in training data, or reconstruct sensitive training examples.