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differential privacy

1010 papers

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Also known as

DP

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

Improving Noise Efficiency in Privacy-preserving Dataset Distillation ICCV 2025
DPED: Multi-Layer Noise Distillation for Privacy-Preserving Text Embeddings EMNLP 2025
Differentially Private Fine-Tuning of Diffusion Models ICCV 2025
RemoteRAG: A Privacy-Preserving LLM Cloud RAG Service ACL 2025
Improving Private Random Forest Prediction Using Matrix Representation AAAI 2025
Differential Privacy Mechanisms in Neural Tangent Kernel Regression WACV 2025
Mjölnir: Breaking the Shield of Perturbation-Protected Gradients via Adaptive Diffusion AAAI 2025
DR-Encoder: Encode Low-rank Gradients with Random Prior for Large Language Models Differentially Privately AAAI 2025
AI-Driven Personalized Fall Prevention for Older Adults AAAI 2025
Differentially Private Integrated Decision Gradients (IDG-DP) for Radar-Based Human Activity Recognition WACV 2025
Model-based Large Language Model Customization as Service EMNLP 2025
Fairness Issues and Mitigations in (Differentially Private) Socio-Demographic Data Processes AAAI 2025
PPC-GPT: Federated Task-Specific Compression of Large Language Models via Pruning and Chain-of-Thought Distillation EMNLP 2025
Differentially Private Prototypes for Imbalanced Transfer Learning AAAI 2025
Federated t-SNE and UMAP for Distributed Data Visualization AAAI 2025
Improved Rates of Differentially Private Nonconvex-Strongly-Concave Minimax Optimization AAAI 2025
Mixing Times and Privacy Analysis for the Projected Langevin Algorithm under a Modulus of Continuity JMLR 2025
Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy AAAI 2025
Best Linear Unbiased Estimate from Privatized Contingency Tables JMLR 2025
Privacy, Utility and Fairness: Navigating Trade-offs in Differentially Private Machine Learning AAAI 2025
Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies JMLR 2025
PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration ACL 2025
Differentially Private Multivariate Medians JMLR 2025
Can Private Machine Learning Be Fair? AAAI 2025
With Privacy, Size Matters: On the Importance of Dataset Size in Differentially Private Text Rewriting IJCNLP 2025