Case studies on pseudonymisation and anonymisation techniques and privacy enhancing technologies
ico.org.uk
PETs that derive or generate information that reduces or removes people's identifiability
- Synthetic data
- Differential Privacy
PETS that focus on hiding, or shielding, data
- Homomorphic encryption - this allows computation to be performed on encrypted data without revealing the plaintext;
- Zero-knowledge proofs - these allow one party to prove to another party that something is true, without revealing what that something is or indeed anything else (such as the underlying data);
- Trusted Execution Environments - these protect the information from external operating systems and applications.
PETs that split datasets
- Federated learning
- Secure multiparty computation, including private-set intersection (PSI)
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