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Differential Privacy

409 directly classified papers

Papers per year

Papers

BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain Activities AAAI 2025
DP-MemArc: Differential Privacy Transfer Learning for Memory Efficient Language Models AAAI 2025
Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies JMLR 2025
Federated Graph Condensation with Information Bottleneck Principles AAAI 2025
Attribute Inference Attacks for Federated Regression Tasks AAAI 2025
Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates AAAI 2025
On Consistent Bayesian Inference from Synthetic Data JMLR 2025
Differentially Private Multivariate Medians JMLR 2025
Investigating User Perspectives on Differentially Private Text Privatization NAACL 2025
Differentially Private Fine-Tuning of Diffusion Models ICCV 2025
Public Data Assisted Differentially Private In-Context Learning EMNLP 2025
Federated Binary Matrix Factorization Using Proximal Optimization AAAI 2025
Differentially Private Prototypes for Imbalanced Transfer Learning AAAI 2025
With Privacy, Size Matters: On the Importance of Dataset Size in Differentially Private Text Rewriting IJCNLP 2025
How Private are Language Models in Abstractive Summarization? EMNLP 2025
Privacy, Utility and Fairness: Navigating Trade-offs in Differentially Private Machine Learning AAAI 2025
Best Linear Unbiased Estimate from Privatized Contingency Tables JMLR 2025
PPC-GPT: Federated Task-Specific Compression of Large Language Models via Pruning and Chain-of-Thought Distillation EMNLP 2025
Differentially Private Integrated Decision Gradients (IDG-DP) for Radar-Based Human Activity Recognition WACV 2025
Inspecting the Representation Manifold of Differentially-Private Text NAACL 2025
SAP: Privacy-Preserving Fine-Tuning on Language Models with Split-and-Privatize Framework IJCAI 2025
Dyn-D^2P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee IJCAI 2025
Robust Utility-Preserving Text Anonymization Based on Large Language Models ACL 2025
Leveraging Semantic Triples for Private Document Generation with Local Differential Privacy Guarantees EMNLP 2025
Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy AAAI 2025