5 citations · 6 across the 4 of their papers we have counts for
3 papers · 1 filter
S-BDT: Distributed Differentially Private Boosted Decision Trees
Thorsten Peinemann, Moritz Kirschte, Joshua Stock +2
We introduce S-BDT: a novel -differentially private distributed gradient boosted decision tree (GBDT) learner that improves the protection of single training data…
LoVe is in the Air -- Location Verification of ADS-B Signals using Distributed Public Sensors
Johanna Ansohn McDougall, Alessandro Brighente, Willi Großmann +3
The Automatic Dependant Surveillance-Broadcast (ADS-B) message scheme was designed without any authentication or encryption of messages in place. It is therefore easily possible to…
Lessons Learned: Defending Against Property Inference Attacks
Joshua Stock, Jens Wettlaufer, Daniel Demmler +1
This work investigates and evaluates multiple defense strategies against property inference attacks (PIAs), a privacy attack against machine learning models. Given a trained machin…