A technique that reduces what an attacker, vendor or insider can learn from personal data, such as differential privacy, federated learning, synthetic data, masking or trusted execution 1. None makes a system compliant alone; each has a known failure mode and is evidenced by a test.
- Developed in
- ch. 19, Privacy-enhancing technologies and their honest limits
- Chapters
- ch. 19, Privacy & AI
- Source
- 1 numbered reference, listed below
Where it is used
2 chapters of the Body of Knowledge use the term. Each link opens the first section that does.
- 14 · Development Data for training and testing 1 mention
- 19 · Privacy & AI Minimisation, privacy by design and PETs 3 mentions
Related terms
Sources
- [1] NIST SP 800-226, Guidelines for Evaluating Differential Privacy Guarantees (differential privacy pyramid; privacy hazards). NIST. 2025-03. https://csrc.nist.gov/pubs/sp/800/226/final (verified: primary)
Definitions of legal terms paraphrase the cited text, which governs. Dated statements are as of .