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Privacy Preserving

Papers

Showing 5175 of 2975 papers

TitleStatusHype
Differentially Private Optimization on Large Model at Small CostCode1
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and ApplicationsCode1
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt EngineerCode1
A Survey for Federated Learning Evaluations: Goals and MeasuresCode1
Active Membership Inference Attack under Local Differential Privacy in Federated LearningCode1
Differentially Private Bias-Term Fine-tuning of Foundation ModelsCode1
A Survey on Vulnerability of Federated Learning: A Learning Algorithm PerspectiveCode1
Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine LearningCode1
Differential Privacy for Text Analytics via Natural Text SanitizationCode1
ECG-Image-Kit: A Synthetic Image Generation Toolbox to Facilitate Deep Learning-Based Electrocardiogram DigitizationCode1
Defending against Backdoors in Federated Learning with Robust Learning RateCode1
Attacks on Image Encryption Schemes for Privacy-Preserving Deep Neural NetworksCode1
Exploring Federated Unlearning: Review, Comparison, and InsightsCode1
Differentially Private Federated Learning: A Client Level PerspectiveCode1
DCT-CryptoNets: Scaling Private Inference in the Frequency DomainCode1
Data Valuation and Detections in Federated LearningCode1
ARIANN: Low-Interaction Privacy-Preserving Deep Learning via Function Secret SharingCode1
A Privacy-Preserving Hybrid Federated Learning Framework for Financial Crime DetectionCode1
A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and CountermeasuresCode1
DeceFL: A Principled Decentralized Federated Learning FrameworkCode1
DP-MERF: Differentially Private Mean Embeddings with Random Features for Practical Privacy-Preserving Data GenerationCode1
DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text RewritingCode1
A Platform for the Biomedical Application of Large Language ModelsCode1
A Comprehensive Survey of Synthetic Tabular Data GenerationCode1
APPFL: Open-Source Software Framework for Privacy-Preserving Federated LearningCode1
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