Synthetic Data, Hashing, Enterprise Data Leakage, and the Reality of Privacy Risks: What to Know | HackerNoon
Briefly

Synthetic data, though useful for simulation and ML, doesn't provide anonymity. Generative AI poses privacy risks by reflecting real data patterns, risking re-identification.
LLMs and generative AI present unique privacy risks: data leakage from pre-training, model features, and stored interactions. Synthetic data doesn't eliminate privacy concerns.
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