Koskela, Antti

14 publications

NeurIPS 2025 Convex Approximation of Two-Layer ReLU Networks for Hidden State Differential Privacy Rob Romijnders, Antti Koskela

ICML 2024 Privacy Profiles for Private Selection Antti Koskela, Rachel Emily Redberg, Yu-Xiang Wang

NeurIPS 2023 Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners Rachel Redberg, Antti Koskela, Yu-Xiang Wang

ICLR 2023 Individual Privacy Accounting with Gaussian Differential Privacy Antti Koskela, Marlon Tobaben, Antti Honkela

TMLR 2023 Numerical Accounting in the Shuffle Model of Differential Privacy Antti Koskela, Mikko A. Heikkilä, Antti Honkela

NeurIPS 2023 Practical Differentially Private Hyperparameter Tuning with Subsampling Antti Koskela, Tejas D Kulkarni

ICLRW 2023 Practical Differentially Private Hyperparameter Tuning with Subsampling Antti Koskela, Tejas Kulkarni

NeurIPSW 2022 Individual Privacy Accounting with Gaussian Differential Privacy Antti Koskela, Marlon Tobaben, Antti Honkela

AISTATS 2021 Tight Differential Privacy for Discrete-Valued Mechanisms and for the Subsampled Gaussian Mechanism Using FFT Antti Koskela, Joonas Jälkö, Lukas Prediger, Antti Honkela

ICML 2021 Differentially Private Bayesian Inference for Generalized Linear Models Tejas Kulkarni, Joonas Jälkö, Antti Koskela, Samuel Kaski, Antti Honkela

NeurIPSW 2021 Differentially Private Hamiltonian Monte Carlo Ossi Räisä, Antti Koskela, Antti Honkela

NeurIPSW 2021 Tight Accounting in the Shuffle Model of Differential Privacy Antti Koskela, Mikko A. Heikkilä, Antti Honkela

AISTATS 2020 Computing Tight Differential Privacy Guarantees Using FFT Antti Koskela, Joonas Jälkö, Antti Honkela

AISTATS 2020 Learning Rate Adaptation for Differentially Private Learning Antti Koskela, Antti Honkela