23 citations · 87 across the 23 of their papers we have counts for
Showing 2021Show all
3 papers · 1 filter
stat.CO2021★ 1 cited
Differentially Private Hamiltonian Monte Carlo
Ossi Räisä, Antti Koskela, Antti Honkela
Markov chain Monte Carlo (MCMC) algorithms have long been the main workhorses of Bayesian inference. Among them, Hamiltonian Monte Carlo (HMC) has recently become very popular due…
cs.CR2021★ 2 cited
Tight Accounting in the Shuffle Model of Differential Privacy
Antti Koskela, Mikko A. Heikkilä, Antti Honkela
Shuffle model of differential privacy is a novel distributed privacy model based on a combination of local privacy mechanisms and a secure shuffler. It has been shown that the addi…
cs.CR2021★ 3 cited
Computing Differential Privacy Guarantees for Heterogeneous Compositions Using FFT
Antti Koskela, Antti Honkela
The recently proposed Fast Fourier Transform (FFT)-based accountant for evaluating -differential privacy guarantees using the privacy loss distribution formalism h…