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differential privacy

1010 papers

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Also known as

DPDL DP-SGD DP DPSGD MDP LDP

Co-occurring keywords

federated learning (1320) stochastic gradient descent (1088) sample complexity (1158) privacy preservation (376) privacy-preserving learning (115) regret bound (1918) privacy-preserving machine learning (99) large language model (12755) exponential mechanism (30) online learning (1770)

Papers

The Target-Charging Technique for Privacy Analysis across Interactive Computations NIPS 2023
Post-processing Private Synthetic Data for Improving Utility on Selected Measures NIPS 2023
Noise-Aware Statistical Inference with Differentially Private Synthetic Data AISTATS 2023
Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential Privacy NIPS 2023
DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning IJCAI 2023
Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability ICML 2023
On User-Level Private Convex Optimization ICML 2023
Fast and Differentially Private Fair Clustering IJCAI 2023
Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy AISTATS 2023
A Smooth Binary Mechanism for Efficient Private Continual Observation NIPS 2023
TAN Without a Burn: Scaling Laws of DP-SGD ICML 2023
A Randomized Approach to Tight Privacy Accounting NIPS 2023
Differentially Private Image Classification by Learning Priors from Random Processes NIPS 2023
Secure Federated Correlation Test and Entropy Estimation ICML 2023
Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards ICML 2023
Privacy Aware Question-Answering System for Online Mental Health Risk Assessment ACL 2023
FedSampling: A Better Sampling Strategy for Federated Learning IJCAI 2023
On Private and Robust Bandits NIPS 2023
Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation NIPS 2023
A Customized Text Sanitization Mechanism with Differential Privacy ACL 2023
Win-Win: A Privacy-Preserving Federated Framework for Dual-Target Cross-Domain Recommendation AAAI 2023
Near-Optimal Differentially Private Reinforcement Learning AISTATS 2023
Sparsity-Preserving Differentially Private Training of Large Embedding Models NIPS 2023
Private Distribution Learning with Public Data: The View from Sample Compression NIPS 2023
Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners NIPS 2023