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cs.CR2025
PrivaDE: Privacy-preserving Data Evaluation for Blockchain-based Data Marketplaces
Wan Ki Wong, Sahel Torkamani, Michele Ciampi +1
Evaluating the usefulness of data before purchase is essential when obtaining data for high-quality machine learning models, yet both model builders and data providers are often un…
cs.CR2024
Count on Your Elders: Laplace vs Gaussian Noise
Joel Daniel Andersson, Rasmus Pagh, Teresa Anna Steiner +1
In recent years, Gaussian noise has become a popular tool in differentially private algorithms, often replacing Laplace noise which dominated the early literature. Gaussian noise i…