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Privacy Preserving

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Showing 201–250 of 2975 papers

TitleStatusHype
pvCNN: Privacy-Preserving and Verifiable Convolutional Neural Network TestingCode1
Local Learning Matters: Rethinking Data Heterogeneity in Federated LearningCode1
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial IntelligenceCode1
FedSim: Similarity guided model aggregation for Federated LearningCode1
FedFly: Towards Migration in Edge-based Distributed Federated LearningCode1
Masked LARk: Masked Learning, Aggregation and Reporting worKflowCode1
DistFL: Distribution-aware Federated Learning for Mobile ScenariosCode1
Sparse Distillation: Speeding Up Text Classification by Using Bigger Student ModelsCode1
Communication-Efficient Federated Learning with Binary Neural NetworksCode1
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News RecommendationCode1
FLASHE: Additively Symmetric Homomorphic Encryption for Cross-Silo Federated LearningCode1
Selective Differential Privacy for Language ModelingCode1
Fed-TGAN: Federated Learning Framework for Synthesizing Tabular DataCode1
FedMatch: Federated Learning Over Heterogeneous Question Answering DataCode1
Fully Homomorphically Encrypted Deep Learning as a ServiceCode1
DeceFL: A Principled Decentralized Federated Learning FrameworkCode1
Fedlearn-Algo: A flexible open-source privacy-preserving machine learning platformCode1
RoFL: Robustness of Secure Federated LearningCode1
Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular DiseaseCode1
Gradient-Leakage Resilient Federated LearningCode1
An Efficient Approach for Cross-Silo Federated Learning to RankCode1
Federated Learning with Spiking Neural NetworksCode1
FL-Market: Trading Private Models in Federated LearningCode1
Antipodes of Label Differential Privacy: PATE and ALIBICode1
Differential Privacy for Text Analytics via Natural Text SanitizationCode1
Fast Federated Learning by Balancing Communication Trade-OffsCode1
HyFed: A Hybrid Federated Framework for Privacy-preserving Machine LearningCode1
Differentially Private Federated Knowledge Graphs EmbeddingCode1
EasyFL: A Low-code Federated Learning Platform For DummiesCode1
PPFL: Privacy-preserving Federated Learning with Trusted Execution EnvironmentsCode1
Privacy-Preserving Portrait MattingCode1
CryptGPU: Fast Privacy-Preserving Machine Learning on the GPUCode1
Risk score learning for COVID-19 contact tracing appsCode1
DataLens: Scalable Privacy Preserving Training via Gradient Compression and AggregationCode1
How Privacy-Preserving are Line Clouds? Recovering Scene Details from 3D LinesCode1
PFA: Privacy-preserving Federated Adaptation for Effective Model PersonalizationCode1
Quantifying and Mitigating Privacy Risks of Contrastive LearningCode1
Adversarial Stylometry in the Wild: Transferable Lexical Substitution Attacks on Author ProfilingCode1
NN-EMD: Efficiently Training Neural Networks using Encrypted Multi-Sourced DatasetsCode1
Overcoming Barriers to Data Sharing with Medical Image Generation: A Comprehensive EvaluationCode1
Privacy-preserving Collaborative Learning with Automatic Transformation SearchCode1
KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge DistillationCode1
Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine LearningCode1
Synthetic Data -- Anonymisation Groundhog DayCode1
Privacy-Preserving XGBoost InferenceCode1
Federated Learning for Computational Pathology on Gigapixel Whole Slide ImagesCode1
Adversarial Privacy Preserving Graph Embedding against Inference AttackCode1
Relational Data Synthesis using Generative Adversarial Networks: A Design Space ExplorationCode1
Performance Optimization for Federated Person Re-identification via Benchmark AnalysisCode1
Key-Nets: Optical Transformation Convolutional Networks for Privacy Preserving Vision SensorsCode1
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