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Privacy Preserving

Papers

Showing 151200 of 2975 papers

TitleStatusHype
A Privacy-Preserving Hybrid Federated Learning Framework for Financial Crime DetectionCode1
Extracting Training Data from Diffusion ModelsCode1
Dual Personalization on Federated RecommendationCode1
Federated Domain Generalization With Generalization AdjustmentCode1
Rethinking Federated Learning With Domain Shift: A Prototype ViewCode1
Federated PCA on Grassmann Manifold for Anomaly Detection in IoT NetworksCode1
Position: Considerations for Differentially Private Learning with Large-Scale Public PretrainingCode1
Federated Few-Shot Learning for Mobile NLPCode1
Privacy-Preserving Visual Localization with Event CamerasCode1
Secure and Privacy-Preserving Automated Machine Learning Operations into End-to-End Integrated IoT-Edge-Artificial Intelligence-Blockchain Monitoring System for Diabetes Mellitus PredictionCode1
FedTP: Federated Learning by Transformer PersonalizationCode1
Private and Reliable Neural Network InferenceCode1
PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt LearningCode1
Federated Boosted Decision Trees with Differential PrivacyCode1
Heterogeneous Graph Neural Network for Privacy-Preserving RecommendationCode1
Differentially Private Bias-Term Fine-tuning of Foundation ModelsCode1
Differentially Private Optimization on Large Model at Small CostCode1
Privacy-Preserving Synthetic Data Generation for Recommendation SystemsCode1
Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer LearningCode1
EViT: Privacy-Preserving Image Retrieval via Encrypted Vision Transformer in Cloud ComputingCode1
FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphsCode1
Towards Federated Learning against Noisy Labels via Local Self-RegularizationCode1
Joint Privacy Enhancement and Quantization in Federated LearningCode1
DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text RewritingCode1
Practical Vertical Federated Learning with Unsupervised Representation LearningCode1
Privacy-Preserving Action Recognition via Motion Difference QuantizationCode1
Towards Privacy-Preserving, Real-Time and Lossless Feature MatchingCode1
Learnable Privacy-Preserving Anonymization for Pedestrian ImagesCode1
POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and PagingCode1
FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image ClassificationCode1
FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated LearningCode1
A federated graph neural network framework for privacy-preserving personalizationCode1
Can Foundation Models Help Us Achieve Perfect Secrecy?Code1
GeoPointGAN: Synthetic Spatial Data with Local Label Differential PrivacyCode1
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical ImagingCode1
Privacy-Preserving Model Upgrades with Bidirectional Compatible Training in Image RetrievalCode1
Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated FeaturesCode1
Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated DistillationCode1
FedCorr: Multi-Stage Federated Learning for Label Noise CorrectionCode1
Production of Categorical Data Verifying Differential Privacy: Conception and Applications to Machine LearningCode1
CTAB-GAN+: Enhancing Tabular Data SynthesisCode1
Rethinking Portrait Matting with Privacy PreservingCode1
Neural Inertial LocalizationCode1
FedVLN: Privacy-preserving Federated Vision-and-Language NavigationCode1
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding AggregationCode1
OLIVE: Oblivious Federated Learning on Trusted Execution Environment against the risk of sparsificationCode1
UA-FedRec: Untargeted Attack on Federated News RecommendationCode1
APPFL: Open-Source Software Framework for Privacy-Preserving Federated LearningCode1
Privacy-preserving Speech Emotion Recognition through Semi-Supervised Federated LearningCode1
Domain-Invariant Representation Learning from EEG with Private EncodersCode1
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