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Privacy Preserving

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Showing 201–250 of 2975 papers

TitleStatusHype
A federated graph neural network framework for privacy-preserving personalizationCode1
Differentially Private Federated Learning: A Client Level PerspectiveCode1
Differentially Private Federated Knowledge Graphs EmbeddingCode1
Attack-Aware Noise Calibration for Differential PrivacyCode1
ECG-Image-Kit: A Synthetic Image Generation Toolbox to Facilitate Deep Learning-Based Electrocardiogram DigitizationCode1
OLIVE: Oblivious Federated Learning on Trusted Execution Environment against the risk of sparsificationCode1
Federated Boosted Decision Trees with Differential PrivacyCode1
DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and ReleaseCode1
A Privacy-Preserving Distributed Architecture for Deep-Learning-as-a-ServiceCode1
Overcoming Barriers to Data Sharing with Medical Image Generation: A Comprehensive EvaluationCode1
Differential Privacy for Text Analytics via Natural Text SanitizationCode1
PrivLM-Bench: A Multi-level Privacy Evaluation Benchmark for Language ModelsCode1
DistFL: Distribution-aware Federated Learning for Mobile ScenariosCode1
Performance Optimization for Federated Person Re-identification via Benchmark AnalysisCode1
Active Membership Inference Attack under Local Differential Privacy in Federated LearningCode1
Federated Learning for Computational Pathology on Gigapixel Whole Slide ImagesCode1
Federated Learning with Label-Masking DistillationCode1
Domain-Invariant Representation Learning from EEG with Private EncodersCode1
A Privacy-Preserving Hybrid Federated Learning Framework for Financial Crime DetectionCode1
DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text RewritingCode1
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt EngineerCode1
PrivacyFL: A simulator for privacy-preserving and secure federated learningCode1
A Survey on Vulnerability of Federated Learning: A Learning Algorithm PerspectiveCode1
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and ApplicationsCode1
EchoNet-Synthetic: Privacy-preserving Video Generation for Safe Medical Data SharingCode1
EasyFL: A Low-code Federated Learning Platform For DummiesCode1
Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine LearningCode1
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding AggregationCode1
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News RecommendationCode1
FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled Representation LearningCode1
FedDefender: Backdoor Attack Defense in Federated LearningCode1
FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphsCode1
Privacy-Preserving In-Context Learning with Differentially Private Few-Shot GenerationCode1
Privacy-Preserving Model Upgrades with Bidirectional Compatible Training in Image RetrievalCode1
Privacy-preserving Speech Emotion Recognition through Semi-Supervised Federated LearningCode1
A Survey for Federated Learning Evaluations: Goals and MeasuresCode1
Privacy-preserving Traffic Flow Prediction: A Federated Learning ApproachCode1
Exploring Federated Unlearning: Review, Comparison, and InsightsCode1
Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated DistillationCode1
EViT: Privacy-Preserving Image Retrieval via Encrypted Vision Transformer in Cloud ComputingCode1
Production of Categorical Data Verifying Differential Privacy: Conception and Applications to Machine LearningCode1
Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and BenchmarkCode1
Extracting Training Data from Diffusion ModelsCode1
Exploring the Vulnerabilities of Federated Learning: A Deep Dive into Gradient Inversion AttacksCode1
Protecting Sensory Data against Sensitive InferencesCode1
ARIANN: Low-Interaction Privacy-Preserving Deep Learning via Function Secret SharingCode1
Fast Federated Learning by Balancing Communication Trade-OffsCode1
FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation NoiseCode1
Reliable Generation of Privacy-preserving Synthetic Electronic Health Record Time Series via Diffusion ModelsCode1
A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and CountermeasuresCode1
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