A study of an LLM-based synthetic data pipeline with noise injection that claims differential privacy, evaluated on news classification, but with no valid privacy analysis.
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SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy
A study of an LLM-based synthetic data pipeline with noise injection that claims differential privacy, evaluated on news classification, but with no valid privacy analysis.