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20212025
most citedDifferentially Private Aggregation in the Shuffle Model: Almost Central Accuracy in Almost a Single Message

7 citations · 10 across the 12 of their papers we have counts for

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cs.CR2025★ 1 cited

VaultGemma: A Differentially Private Gemma Model

Amer Sinha, Thomas Mesnard, Ryan McKenna +18

We introduce VaultGemma 1B, a 1 billion parameter model within the Gemma family, fully trained with differential privacy. Pretrained on the identical data mixture used for the Gemm…

cs.LG2025

Scaling Laws for Differentially Private Language Models

Ryan McKenna, Yangsibo Huang, Amer Sinha +9

Scaling laws have emerged as important components of large language model (LLM) training as they can predict performance gains through scale, and provide guidance on important hype…