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Privacy Preserving

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Showing 951–975 of 2975 papers

TitleStatusHype
Empowering Healthcare through Privacy-Preserving MRI Analysis—0
Metadata-Driven Federated Learning of Connectional Brain Templates in Non-IID Multi-Domain Scenarios—0
Quantifying and Mitigating Privacy Risks for Tabular Generative Models—0
A Framework for Cost-Effective and Self-Adaptive LLM Shaking and Recovery Mechanism—0
SoK: Can Trajectory Generation Combine Privacy and Utility?Code1
FewFedPIT: Towards Privacy-preserving and Few-shot Federated Instruction Tuning—0
Privacy-Preserving Diffusion Model Using Homomorphic EncryptionCode1
Federated Learning Method for Preserving Privacy in Face Recognition System—0
Developing Federated Time-to-Event Scores Using Heterogeneous Real-World Survival DataCode0
Architectural Blueprint For Heterogeneity-Resilient Federated Learning—0
Privacy-preserving Fine-tuning of Large Language Models through Flatness—0
Federated Recommendation via Hybrid Retrieval Augmented GenerationCode1
Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: a data-driven approach for improved classification—0
A Privacy-Preserving Framework with Multi-Modal Data for Cross-Domain Recommendation—0
Wildest Dreams: Reproducible Research in Privacy-preserving Neural Network Training—0
A Federated Deep Learning Approach for Privacy-Preserving Real-Time Transient Stability Predictions in Power Systems—0
Leveraging Federated Learning for Automatic Detection of Clopidogrel Treatment Failures—0
Design of Stochastic Quantizers for Privacy Preservation—0
FedHCDR: Federated Cross-Domain Recommendation with Hypergraph Signal DecouplingCode1
Towards Robust Federated Learning via Logits Calibration on Non-IID Data—0
Data Collaboration Analysis with Orthonormal Basis Selection and Alignment—0
Inf2Guard: An Information-Theoretic Framework for Learning Privacy-Preserving Representations against Inference AttacksCode0
Differentially Private Synthetic Data via Foundation Model APIs 2: TextCode2
Privacy-Preserving Collaborative Split Learning Framework for Smart Grid Load ForecastingCode1
REWIND Dataset: Privacy-preserving Speaking Status Segmentation from Multimodal Body Movement Signals in the Wild—0
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