12 citations · 12 across the 2 of their papers we have counts for
2 papers
cs.LG2023
Assessment of Differentially Private Synthetic Data for Utility and Fairness in End-to-End Machine Learning Pipelines for Tabular Data
Mayana Pereira, Meghana Kshirsagar, Sumit Mukherjee +3
Differentially private (DP) synthetic data sets are a solution for sharing data while preserving the privacy of individual data providers. Understanding the effects of utilizing DP…
cs.PF2023★ 12 cited
Tensor Slicing and Optimization for Multicore NPUs
Rafael Sousa, Marcio Pereira, Yongin Kwon +5
Although code generation for Convolution Neural Network (CNN) models has been extensively studied, performing efficient data slicing and parallelization for highly-constrai\-ned Mu…