Co-occurring keywords · papers mentioning both
Papers
Non-Euclidean Differentially Private Stochastic Convex Optimization
COLT 2021
Tight Differential Privacy for Discrete-Valued Mechanisms and for the Subsampled Gaussian Mechanism Using FFT
AISTATS 2021
Computing Tight Differential Privacy Guarantees Using FFT
AISTATS 2020
Improving Sparse Vector Technique with Renyi Differential Privacy
NeurIPS 2020
Tight Analysis of Privacy and Utility Tradeoff in Approximate Differential Privacy
AISTATS 2020
Formal Privacy for Functional Data with Gaussian Perturbations
ICML 2019
Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness
IJCAI 2019
Optimal Noise-Adding Mechanism in Additive Differential Privacy
AISTATS 2019
Privacy Amplification by Mixing and Diffusion Mechanisms
NeurIPS 2019
Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising
ICML 2018