From the course: Synthetic Data: Advanced Concepts and Applications
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Privacy with synthetic data
From the course: Synthetic Data: Advanced Concepts and Applications
Privacy with synthetic data
- Can there be privacy concerns with synthetic data? While synthetic data does it usually have privacy concerns? The answer is yes. This is especially true if you're training a model using synthetic and real data. In this lesson, we'll go over some privacy implications to consider when working with synthetic data. The first concern is re-identification. Synthetic data shouldn't have real people's information, but it's combined with real datasets. It might be possible to identify individuals from the synthetic data. The second concern is data leakage. Sometimes, synthetic data generation methods may include information from real data. This can result in the synthetic data revealing sensitive information about individuals or organizations represented in the real data. Luckily, there are ways to address these privacy concerns. The first approach is differential privacy. This means adding noise or small changes to the data to…
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