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20172026
most citedL-SRR: Local Differential Privacy for Location-Based Services with Staircase Randomized Response

6 citations · 8 across the 5 of their papers we have counts for

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cs.CR2024

LMO-DP: Optimizing the Randomization Mechanism for Differentially Private Fine-Tuning (Large) Language Models

Qin Yang, Meisam Mohammad, Han Wang +5

Differentially Private Stochastic Gradient Descent (DP-SGD) and its variants have been proposed to ensure rigorous privacy for fine-tuning large-scale pre-trained language models.…