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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

Thinking Outside of the Differential Privacy Box: A Case Study in Text Privatization with Language Model Prompting EMNLP 2024
Online Sensitivity Optimization in Differentially Private Learning AAAI 2024
Scalable DP-SGD: Shuffling vs. Poisson Subsampling NIPS 2024
Adversarially Robust Dense-Sparse Tradeoffs via Heavy-Hitters NIPS 2024
PrivSGP-VR: Differentially Private Variance-Reduced Stochastic Gradient Push with Tight Utility Bounds IJCAI 2024
Generate Synthetic Text Approximating the Private Distribution with Differential Privacy IJCAI 2024
Protect Your Score: Contact-Tracing with Differential Privacy Guarantees AAAI 2024
Continual Counting with Gradual Privacy Expiration NIPS 2024
Differentially Private Set Representations NIPS 2024
Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding AAAI 2024
Multi-Dimensional Fair Federated Learning AAAI 2024
No Prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation AAAI 2024
Noise-Aware Differentially Private Regression via Meta-Learning NIPS 2024
Privacy Amplification by Iteration for ADMM with (Strongly) Convex Objective Functions AAAI 2024
Differential Privacy in Scalable General Kernel Learning via $K$-means Nystr{\"o}m Random Features NIPS 2024
Federated Graph Learning for Cross-Domain Recommendation NIPS 2024
Differentially private methods for managing model uncertainty in linear regression JMLR 2024
Faster Rates of Differentially Private Stochastic Convex Optimization JMLR 2024
Pure Differential Privacy for Functional Summaries with a Laplace-like Process JMLR 2024
Optimal Learning Policies for Differential Privacy in Multi-armed Bandits JMLR 2024
Analysis of Privacy Leakage in Federated Large Language Models AISTATS 2024
Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample Regime NIPS 2024
Can Public Large Language Models Help Private Cross-device Federated Learning? NAACL 2024
On the Computational Complexity of Private High-dimensional Model Selection NIPS 2024
DP-AdamBC: Your DP-Adam Is Actually DP-SGD (Unless You Apply Bias Correction) AAAI 2024