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Privacy Preserving

Papers

Showing 201225 of 2975 papers

TitleStatusHype
A federated graph neural network framework for privacy-preserving personalizationCode1
Measuring the Effects of Non-Identical Data Distribution for Federated Visual ClassificationCode1
Metropolitan Segment Traffic Speeds from Massive Floating Car Data in 10 CitiesCode1
Differentially Private Bias-Term Fine-tuning of Foundation ModelsCode1
Differentially Private Federated Learning: A Client Level PerspectiveCode1
MMASD: A Multimodal Dataset for Autism Intervention AnalysisCode1
Extracting Training Data from Diffusion ModelsCode1
NN-EMD: Efficiently Training Neural Networks using Encrypted Multi-Sourced DatasetsCode1
A Survey for Federated Learning Evaluations: Goals and MeasuresCode1
DP-MERF: Differentially Private Mean Embeddings with Random Features for Practical Privacy-Preserving Data GenerationCode1
Fair Federated Learning under Domain Skew with Local Consistency and Domain DiversityCode1
Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated DistillationCode1
Exploring Federated Unlearning: Review, Comparison, and InsightsCode1
Exploring the Vulnerabilities of Federated Learning: A Deep Dive into Gradient Inversion AttacksCode1
Active Membership Inference Attack under Local Differential Privacy in Federated LearningCode1
Differential Privacy for Text Analytics via Natural Text SanitizationCode1
PAKTON: A Multi-Agent Framework for Question Answering in Long Legal AgreementsCode1
DistFL: Distribution-aware Federated Learning for Mobile ScenariosCode1
A Privacy-Preserving Hybrid Federated Learning Framework for Financial Crime DetectionCode1
Reliable Generation of Privacy-preserving Synthetic Electronic Health Record Time Series via Diffusion ModelsCode1
Performance Optimization for Federated Person Re-identification via Benchmark AnalysisCode1
Domain-Invariant Representation Learning from EEG with Private EncodersCode1
ARIANN: Low-Interaction Privacy-Preserving Deep Learning via Function Secret SharingCode1
DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text RewritingCode1
EViT: Privacy-Preserving Image Retrieval via Encrypted Vision Transformer in Cloud ComputingCode1
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