Synthetic Data, Hashing, Enterprise Data Leakage, and the Reality of Privacy Risks: What to Know | HackerNoon
The timely “No, Hashing Still Doesn’t Make Your Data Anonymous” post from the FTC is a great reminder that, especially with the rise of large language models (LLMs) and generative AI, how those models are trained and fine-tuned creates opportunities for massive data leakage. Synthetic data is often considered the convenient solution to the data privacy challenges associated with LLM training and fine-tuning. However, synthetic data is not equivalent to anonymous or de-identified data.