Privacy computation is an essential aspect of modern data processing. Here are some applications of privacy computation:
- Data Anonymization: This involves making data sets anonymous to protect individual privacy.
- Secure Multi-party Computation (SMC): Allows multiple parties to compute a function over their inputs while keeping those inputs private.
- Homomorphic Encryption: Allows computation on encrypted data without decrypting it first.
For more information on privacy computation, you can visit our Privacy Computation Introduction.