732 citations · 1.7k across the 44 of their papers we have counts for
3 papers · 1 filter
ContextLeak: Auditing Leakage in Private In-Context Learning Methods
Jacob Choi, Shuying Cao, Xingjian Dong +4
In-Context Learning (ICL) has become a standard technique for adapting Large Language Models (LLMs) to specialized tasks by supplying task-specific exemplars within the prompt. How…
A Differentially Private Kaplan-Meier Estimator for Privacy-Preserving Survival Analysis
Narasimha Raghavan Veeraragavan, Sai Praneeth Karimireddy, Jan Franz Nygård
This paper presents a differentially private approach to Kaplan-Meier estimation that achieves accurate survival probability estimates while safeguarding individual privacy. The Ka…
LIA: Privacy-Preserving Data Quality Evaluation in Federated Learning Using a Lazy Influence Approximation
Ljubomir Rokvic, Panayiotis Danassis, Sai Praneeth Karimireddy +1
In Federated Learning, it is crucial to handle low-quality, corrupted, or malicious data. However, traditional data valuation methods are not suitable due to privacy concerns. To a…