2 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.CR2022★ 2 cited
Cache Me If You Can: Accuracy-Aware Inference Engine for Differentially Private Data Exploration
Miti Mazmudar, Thomas Humphries, Jiaxiang Liu +2
Differential privacy (DP) allows data analysts to query databases that contain users' sensitive information while providing a quantifiable privacy guarantee to users. Recent intera…
cs.CR2020★ 2 cited
Investigating Membership Inference Attacks under Data Dependencies
Thomas Humphries, Simon Oya, Lindsey Tulloch +4
Training machine learning models on privacy-sensitive data has become a popular practice, driving innovation in ever-expanding fields. This has opened the door to new attacks that…