activity
20202026
most citedCache Me If You Can: Accuracy-Aware Inference Engine for Differentially Private Data Exploration

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

collaborators
Showing 2020Show all

1 paper · 1 filter

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…