conftrace_

gaussian mechanism

30 papers

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Also known as

GM

Co-occurring keywords

differential privacy (1016) privacy accounting (12) exponential mechanism (30) log-concave distribution (46) local differential privacy (73) laplace mechanism (7) privacy-utility tradeoff (16) privacy mechanism (13) fast fourier transform (46) sensitivity analysis (80)

Papers

Dyn-D^2P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee IJCAI 2025
The Relative Gaussian Mechanism and its Application to Private Gradient Descent AISTATS 2024
Revisiting Differentially Private ReLU Regression NIPS 2024
Universal Exact Compression of Differentially Private Mechanisms NIPS 2024
Private Covariance Approximation and Eigenvalue-Gap Bounds for Complex Gaussian Perturbations COLT 2023
Protecting Global Properties of Datasets with Distribution Privacy Mechanisms AISTATS 2023
Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks AAAI 2023
A Unified Solution for Privacy and Communication Efficiency in Vertical Federated Learning NIPS 2023
Smooth Flipping Probability for Differential Private Sign Random Projection Methods NIPS 2023
Improved Utility Analysis of Private CountSketch NIPS 2022
Differential privacy for symmetric log-concave mechanisms AISTATS 2022
Log-Concave and Multivariate Canonical Noise Distributions for Differential Privacy NIPS 2022
A bounded-noise mechanism for differential privacy COLT 2022
Optimal Algorithms for Mean Estimation under Local Differential Privacy ICML 2022
Re-Analyze Gauss: Bounds for Private Matrix Approximation via Dyson Brownian Motion NIPS 2022
Kantorovich Mechanism for Pufferfish Privacy AISTATS 2022
Subspace Differential Privacy AAAI 2022
Differentially private multi-party data release for linear regression UAI 2022
A Central Limit Theorem for Differentially Private Query Answering NIPS 2021
Tight Differential Privacy for Discrete-Valued Mechanisms and for the Subsampled Gaussian Mechanism Using FFT AISTATS 2021
Bounding, Concentrating, and Truncating: Unifying Privacy Loss Composition for Data Analytics ALT 2021
Non-Euclidean Differentially Private Stochastic Convex Optimization COLT 2021
Improving Sparse Vector Technique with Renyi Differential Privacy NIPS 2020
Computing Tight Differential Privacy Guarantees Using FFT AISTATS 2020
Tight Analysis of Privacy and Utility Tradeoff in Approximate Differential Privacy AISTATS 2020