How does 'differential privacy' help in protecting individual's data privacy?
- Encrypts the entire dataset
- Hashes individual identifiers
- Implements strict access controls
- Introduces noise to the data to prevent individual identification
Differential privacy adds controlled noise to data, ensuring that the inclusion or exclusion of any single individual's data doesn't significantly impact the overall results. This technique protects individual privacy by making it difficult to determine the contribution of a specific data point. Understanding the principles of differential privacy is crucial for designing privacy-preserving data analytics systems.__________________________________________________
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