most citedSafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy

2 citations · 2 across the 1 of their papers we have counts for

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cs.LG2024★ 2 cited

SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy

Md Mahadi Hasan Nahid, Sadid Bin Hasan

Machine learning (ML) models frequently rely on training data that may include sensitive or personal information, raising substantial privacy concerns. Legislative frameworks such…