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

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