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Privacy Preserving

Papers

Showing 126150 of 2975 papers

TitleStatusHype
Federated Domain Generalization With Generalization AdjustmentCode1
Emotionless: Privacy-Preserving Speech Analysis for Voice AssistantsCode1
Encryption-Friendly LLM ArchitectureCode1
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News RecommendationCode1
A Distributed Trust Framework for Privacy-Preserving Machine LearningCode1
ECG-Image-Kit: A Synthetic Image Generation Toolbox to Facilitate Deep Learning-Based Electrocardiogram DigitizationCode1
Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine LearningCode1
Attack-Aware Noise Calibration for Differential PrivacyCode1
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and ApplicationsCode1
Attacks on Image Encryption Schemes for Privacy-Preserving Deep Neural NetworksCode1
A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and CountermeasuresCode1
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding AggregationCode1
DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text RewritingCode1
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt EngineerCode1
DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and ReleaseCode1
ARIANN: Low-Interaction Privacy-Preserving Deep Learning via Function Secret SharingCode1
Domain-Invariant Representation Learning from EEG with Private EncodersCode1
Dual Personalization on Federated RecommendationCode1
Differentially Private Optimization on Large Model at Small CostCode1
Differential Privacy for Text Analytics via Natural Text SanitizationCode1
A Survey on Vulnerability of Federated Learning: A Learning Algorithm PerspectiveCode1
A Privacy-Preserving Distributed Architecture for Deep-Learning-as-a-ServiceCode1
A Privacy-Preserving Hybrid Federated Learning Framework for Financial Crime DetectionCode1
A Survey for Federated Learning Evaluations: Goals and MeasuresCode1
DistFL: Distribution-aware Federated Learning for Mobile ScenariosCode1
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