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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

On the Impact of Noise in Differentially Private Text Rewriting NAACL 2025
A New Federated Learning Framework Against Gradient Inversion Attacks AAAI 2025
On the Vulnerability of Text Sanitization NAACL 2025
Private Synthetic Text Generation with Diffusion Models NAACL 2025
Improving Noise Efficiency in Privacy-preserving Dataset Distillation ICCV 2025
DP-FROST: Differentially Private Fine-tuning of Pre-trained Models with Freezing Model Parameters COLING 2025
Navigating Heterogeneity and Privacy in One-Shot Federated Learning with Diffusion Models WACV 2025
CluSanT: Differentially Private and Semantically Coherent Text Sanitization NAACL 2025
With Privacy, Size Matters: On the Importance of Dataset Size in Differentially Private Text Rewriting AACL 2025
How Private are Language Models in Abstractive Summarization? EMNLP 2025
Locally Private Causal Inference for Randomized Experiments JMLR 2025
Differentially Private Learning Needs Better Model Initialization and Self-Distillation NAACL 2025
DPGA-TextSyn: Differentially Private Genetic Algorithm for Synthetic Text Generation ACL 2025
Improving Private Random Forest Prediction Using Matrix Representation AAAI 2025
DP-MemArc: Differential Privacy Transfer Learning for Memory Efficient Language Models AAAI 2025
Can Private Machine Learning Be Fair? AAAI 2025
Differentially Private Fine-Tuning of Diffusion Models ICCV 2025
Privacy, Utility and Fairness: Navigating Trade-offs in Differentially Private Machine Learning AAAI 2025
DR-Encoder: Encode Low-rank Gradients with Random Prior for Large Language Models Differentially Privately AAAI 2025
Mjölnir: Breaking the Shield of Perturbation-Protected Gradients via Adaptive Diffusion AAAI 2025
AI-Driven Personalized Fall Prevention for Older Adults AAAI 2025
On Consistent Bayesian Inference from Synthetic Data JMLR 2025
Public Data Assisted Differentially Private In-Context Learning EMNLP 2025
VAGUE‐Gate: Plug‐and‐Play Local‐Privacy Shield for Retrieval‐Augmented Generation AACL 2025
Fairness Issues and Mitigations in (Differentially Private) Socio-Demographic Data Processes AAAI 2025