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Privacy Preserving

Papers

Showing 176200 of 2975 papers

TitleStatusHype
Attacks on Image Encryption Schemes for Privacy-Preserving Deep Neural NetworksCode1
Federated Learning for Computational Pathology on Gigapixel Whole Slide ImagesCode1
Federated Learning for Generalization, Robustness, Fairness: A Survey and BenchmarkCode1
Attack-Aware Noise Calibration for Differential PrivacyCode1
Anonymizing Machine Learning ModelsCode1
Adversarial Privacy Preserving Graph Embedding against Inference AttackCode1
Federated Learning over Wireless Networks: Convergence Analysis and Resource AllocationCode1
Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine LearningCode1
Federated Learning with Quantum Computing and Fully Homomorphic Encryption: A Novel Computing Paradigm Shift in Privacy-Preserving MLCode1
A Comprehensive Survey of Synthetic Tabular Data GenerationCode1
Federated Few-Shot Learning for Mobile NLPCode1
Federated Recommendation via Hybrid Retrieval Augmented GenerationCode1
Federated Transfer Learning for EEG Signal ClassificationCode1
ECG-Image-Kit: A Synthetic Image Generation Toolbox to Facilitate Deep Learning-Based Electrocardiogram DigitizationCode1
FedHCDR: Federated Cross-Domain Recommendation with Hypergraph Signal DecouplingCode1
A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and CountermeasuresCode1
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and ApplicationsCode1
Antipodes of Label Differential Privacy: PATE and ALIBICode1
FedSim: Similarity guided model aggregation for Federated LearningCode1
Fed-TGAN: Federated Learning Framework for Synthesizing Tabular DataCode1
A Platform for the Biomedical Application of Large Language ModelsCode1
APPFL: Open-Source Software Framework for Privacy-Preserving Federated LearningCode1
APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a ServiceCode1
Fully Homomorphically Encrypted Deep Learning as a ServiceCode1
A Survey for Federated Learning Evaluations: Goals and MeasuresCode1
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