Diffusion Models
Ethics & Safety
A mathematical framework that quantifies and limits the amount of individual information revealed by statistical queries on a dataset.
Detailed Explanation
Differential privacy is a rigorous mathematical approach ensuring that the inclusion or exclusion of a single individual's data does not significantly affect the overall analysis results. By adding carefully calibrated noise, it protects individual privacy while still providing useful aggregate insights, balancing data utility and privacy safeguards, and reducing the risk of re-identification from data releases.
Use Cases
- •Implement anonymized data sharing between companies, ensuring individual privacy is maintained while enabling valuable trend analyses.
Related Terms
Other terms in the Ethics & Safety category