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Differentially Private Bayesian Inference for Generalized Linear Models.

, , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 5838-5849. PMLR, (2021)

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Differentially Private Markov Chain Monte Carlo., , , and . NeurIPS, page 4115-4125. (2019)Understanding Practical Membership Privacy of Deep Learning., , , , and . CoRR, (2024)Tight Approximate Differential Privacy for Discrete-Valued Mechanisms Using FFT., , , and . CoRR, (2020)Differentially Private Variational Inference for Non-conjugate Models., , and . UAI, AUAI Press, (2017)Tight Differential Privacy for Discrete-Valued Mechanisms and for the Subsampled Gaussian Mechanism Using FFT., , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 3358-3366. PMLR, (2021)Privacy-preserving Data Sharing on Vertically Partitioned Data., , , and . CoRR, (2020)Subsampling is not Magic: Why Large Batch Sizes Work for Differentially Private Stochastic Optimisation., , and . CoRR, (2024)Noise-Aware Statistical Inference with Differentially Private Synthetic Data., , , and . CoRR, (2022)Noise-Aware Statistical Inference with Differentially Private Synthetic Data., , , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 3620-3643. PMLR, (2023)Differentially Private Variational Inference for Non-conjugate Models., , and . CoRR, (2016)