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Joonas Jälkö

Aalto University

Understanding Practical Membership Privacy of Deep Learning

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Feb 07, 2024
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Subsampling is not Magic: Why Large Batch Sizes Work for Differentially Private Stochastic Optimisation

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Feb 06, 2024
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Collaborative Learning From Distributed Data With Differentially Private Synthetic Twin Data

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Aug 09, 2023
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DPVIm: Differentially Private Variational Inference Improved

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Oct 28, 2022
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Noise-Aware Statistical Inference with Differentially Private Synthetic Data

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May 28, 2022
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Locally Differentially Private Bayesian Inference

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Oct 27, 2021
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Differentially Private Bayesian Inference for Generalized Linear Models

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Nov 09, 2020
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Privacy-preserving Data Sharing on Vertically Partitioned Data

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Oct 19, 2020
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Tight Approximate Differential Privacy for Discrete-Valued Mechanisms Using FFT

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Jun 12, 2020
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Privacy-preserving data sharing via probabilistic modelling

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Jan 29, 2020
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