Co-occurring keywords · papers mentioning both
Papers
Balls-and-Bins Sampling for DP-SGD
AISTATS 2025
Dyn-D^2P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee
IJCAI 2025
On the Privacy of Selection Mechanisms with Gaussian Noise
AISTATS 2024
The Relative Gaussian Mechanism and its Application to Private Gradient Descent
AISTATS 2024
Wasserstein Differential Privacy
AAAI 2024
A Randomized Approach to Tight Privacy Accounting
NeurIPS 2023
Individual Privacy Accounting with Gaussian Differential Privacy
ICLR 2023
The Saddle-Point Method in Differential Privacy
ICML 2023
Faster Privacy Accounting via Evolving Discretization
ICML 2022
Optimal Accounting of Differential Privacy via Characteristic Function
AISTATS 2022
Individual Privacy Accounting via a Rényi Filter
NeurIPS 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
Subsampled Renyi Differential Privacy and Analytical Moments Accountant
AISTATS 2019