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cs.CR2024
Practical Considerations for Differential Privacy
Kareem Amin, Alex Kulesza, Sergei Vassilvitskii
Differential privacy is the gold standard for statistical data release. Used by governments, companies, and academics, its mathematically rigorous guarantees and worst-case assumpt…
cs.LG2024★ 1 cited
Private prediction for large-scale synthetic text generation
Kareem Amin, Alex Bie, Weiwei Kong +5
We present an approach for generating differentially private synthetic text using large language models (LLMs), via private prediction. In the private prediction framework, we only…