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Privacy Preserving

Papers

Showing 201250 of 2975 papers

TitleStatusHype
A federated graph neural network framework for privacy-preserving personalizationCode1
Multi-Head Adaptive Graph Convolution Network for Sparse Point Cloud-Based Human Activity RecognitionCode1
Neural Inertial LocalizationCode1
Differentially Private Federated Learning: A Client Level PerspectiveCode1
FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphsCode1
Attacks on Image Encryption Schemes for Privacy-Preserving Deep Neural NetworksCode1
Differentially Private Optimization on Large Model at Small CostCode1
DistFL: Distribution-aware Federated Learning for Mobile ScenariosCode1
Federated Adaptation for Foundation Model-based RecommendationsCode1
Attack-Aware Noise Calibration for Differential PrivacyCode1
Overcoming Barriers to Data Sharing with Medical Image Generation: A Comprehensive EvaluationCode1
ECG-Image-Kit: A Synthetic Image Generation Toolbox to Facilitate Deep Learning-Based Electrocardiogram DigitizationCode1
PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation LearningCode1
Differential Privacy for Text Analytics via Natural Text SanitizationCode1
Active Membership Inference Attack under Local Differential Privacy in Federated LearningCode1
Domain-Invariant Representation Learning from EEG with Private EncodersCode1
FedDefender: Backdoor Attack Defense in Federated LearningCode1
PFA: Privacy-preserving Federated Adaptation for Effective Model PersonalizationCode1
Federated Boosted Decision Trees with Differential PrivacyCode1
POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and PagingCode1
PPFL: Privacy-preserving Federated Learning with Trusted Execution EnvironmentsCode1
Practical Vertical Federated Learning with Unsupervised Representation LearningCode1
DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and ReleaseCode1
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News RecommendationCode1
Dual Personalization on Federated RecommendationCode1
Privacy-Preserving Deep Action Recognition: An Adversarial Learning Framework and A New DatasetCode1
EchoNet-Synthetic: Privacy-preserving Video Generation for Safe Medical Data SharingCode1
EasyFL: A Low-code Federated Learning Platform For DummiesCode1
Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated FeaturesCode1
A Survey on Vulnerability of Federated Learning: A Learning Algorithm PerspectiveCode1
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and ApplicationsCode1
Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine LearningCode1
Emotionless: Privacy-Preserving Speech Analysis for Voice AssistantsCode1
Privacy-Preserving Model Upgrades with Bidirectional Compatible Training in Image RetrievalCode1
Encryption-Friendly LLM ArchitectureCode1
FedCIA: Federated Collaborative Information Aggregation for Privacy-Preserving RecommendationCode1
FedCorr: Multi-Stage Federated Learning for Label Noise CorrectionCode1
Privacy-preserving Traffic Flow Prediction: A Federated Learning ApproachCode1
A Survey for Federated Learning Evaluations: Goals and MeasuresCode1
Exploring Federated Unlearning: Review, Comparison, and InsightsCode1
Reliable Generation of Privacy-preserving Synthetic Electronic Health Record Time Series via Diffusion ModelsCode1
Private and Reliable Neural Network InferenceCode1
EViT: Privacy-Preserving Image Retrieval via Encrypted Vision Transformer in Cloud ComputingCode1
PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt LearningCode1
Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and BenchmarkCode1
ARIANN: Low-Interaction Privacy-Preserving Deep Learning via Function Secret SharingCode1
Quantifying and Mitigating Privacy Risks of Contrastive LearningCode1
Randomized algorithms for precise measurement of differentially-private, personalized recommendationsCode1
Exploring the Vulnerabilities of Federated Learning: A Deep Dive into Gradient Inversion AttacksCode1
A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and CountermeasuresCode1
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