5 citations · 5 across the 1 of their papers we have counts for
2 papers
cs.CR2023★ 5 cited
Pool Inference Attacks on Local Differential Privacy: Quantifying the Privacy Guarantees of Apple's Count Mean Sketch in Practice
Andrea Gadotti, Florimond Houssiau, Meenatchi Sundaram Muthu Selva Annamalai +1
Behavioral data generated by users' devices, ranging from emoji use to pages visited, are collected at scale to improve apps and services. These data, however, contain fine-grained…
cs.CR2018
When the signal is in the noise: Exploiting Diffix's Sticky Noise
Andrea Gadotti, Florimond Houssiau, Luc Rocher +2
Anonymized data is highly valuable to both businesses and researchers. A large body of research has however shown the strong limits of the de-identification release-and-forget mode…