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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

With Privacy, Size Matters: On the Importance of Dataset Size in Differentially Private Text Rewriting AACL 2025
Navigating Heterogeneity and Privacy in One-Shot Federated Learning with Diffusion Models WACV 2025
DP-FROST: Differentially Private Fine-tuning of Pre-trained Models with Freezing Model Parameters COLING 2025
On the Vulnerability of Text Sanitization NAACL 2025
Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates AAAI 2025
Private Synthetic Text Generation with Diffusion Models NAACL 2025
Improving Noise Efficiency in Privacy-preserving Dataset Distillation ICCV 2025
Multi-Dimensional Fair Federated Learning AAAI 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
PrivSGP-VR: Differentially Private Variance-Reduced Stochastic Gradient Push with Tight Utility Bounds IJCAI 2024
On Differentially Private U Statistics NIPS 2024
Protect Your Score: Contact-Tracing with Differential Privacy Guarantees AAAI 2024
Wasserstein Differential Privacy AAAI 2024
Can Public Large Language Models Help Private Cross-device Federated Learning? NAACL 2024
Differential Privacy in Scalable General Kernel Learning via $K$-means Nystr{\"o}m Random Features NIPS 2024
Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding AAAI 2024
Differentially Private Reinforcement Learning with Self-Play NIPS 2024
Public-data Assisted Private Stochastic Optimization: Power and Limitations NIPS 2024
Privacy Amplification by Iteration for ADMM with (Strongly) Convex Objective Functions AAAI 2024
Online Sensitivity Optimization in Differentially Private Learning AAAI 2024
Thinking Outside of the Differential Privacy Box: A Case Study in Text Privatization with Language Model Prompting EMNLP 2024
Generate Synthetic Text Approximating the Private Distribution with Differential Privacy IJCAI 2024
Banded Square Root Matrix Factorization for Differentially Private Model Training NIPS 2024
Unified Mechanism-Specific Amplification by Subsampling and Group Privacy Amplification NIPS 2024