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Differential Privacy

15 directly classified papers

Papers per year

Papers

Improved Rates of Differentially Private Nonconvex-Strongly-Concave Minimax Optimization AAAI 2025
Unified Mechanism-Specific Amplification by Subsampling and Group Privacy Amplification NIPS 2024
Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency NIPS 2023
The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection AAAI 2022
Private Adaptive Optimization with Side information ICML 2022
Tempered Sigmoid Activations for Deep Learning with Differential Privacy AAAI 2021
Scalable Differential Privacy With Sparse Network Finetuning CVPR 2021
Enabling Fast Differentially Private SGD via Just-in-Time Compilation and Vectorization NIPS 2021
Deep Learning with Label Differential Privacy NIPS 2021
Instance-optimality in differential privacy via approximate inverse sensitivity mechanisms NIPS 2020
Efficiently Estimating Erdos-Renyi Graphs with Node Differential Privacy NIPS 2019
Differentially Private Markov Chain Monte Carlo NIPS 2019
cpSGD: Communication-efficient and differentially-private distributed SGD NIPS 2018
Model-Agnostic Private Learning NIPS 2018
Sample Complexity Bounds on Differentially Private Learning via Communication Complexity COLT 2014