Which defensive technique against privacy attacks involves adding noise or randomness to the data?

The defensive technique against privacy attacks that involves adding noise or randomness to the data is called "Differential Privacy". Here are the steps explaining how it works:

1. Identify the data: The first step in differential privacy is identifying the data that needs to be protected. This could be any type of sensitive information, such as personal details, financial information, or health records.

2. Add noise: Once the data has been identified, the next step is to add random noise to it. This is done in such a way that it does not significantly affect the overall statistics of the data, but makes it difficult to identify any individual data points.

3. Use the data: After the noise has been added, the data can be used for analysis or research purposes. Because of the added noise, any results derived from this data will be slightly inaccurate, but the overall trends and patterns should still be visible.

4. Protect individual privacy: The main benefit of differential privacy is that it protects the privacy of individual data points. Even if an attacker knows all other data points, they cannot determine the value of any specific data point because of the added noise.

5. Repeat as necessary: Differential privacy is not a one-time process. As new data is added or existing data is updated, the process of adding noise needs to be repeated to ensure ongoing privacy protection.