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.