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Privacy Preserving

Papers

Showing 22512300 of 2975 papers

TitleStatusHype
Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating roomCode0
PIVODL: Privacy-preserving vertical federated learning over distributed labels0
Federated Learning for Privacy-Preserving Open Innovation Future on Digital Health0
Mitigating Statistical Bias within Differentially Private Synthetic Data0
Spatio-Temporal Split Learning for Privacy-Preserving Medical Platforms: Case Studies with COVID-19 CT, X-Ray, and Cholesterol Data0
Learning Federated Representations and Recommendations with Limited Negatives0
Towards Secure and Practical Machine Learning via Secret Sharing and Random PermutationCode0
Blockchain-based Trustworthy Federated Learning Architecture0
Aegis: A Trusted, Automatic and Accurate Verification Framework for Vertical Federated Learning0
LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis0
Effective and Privacy preserving Tabular Data Synthesizing0
Privacy-Preserving Machine Learning: Methods, Challenges and Directions0
FederatedNILM: A Distributed and Privacy-preserving Framework for Non-intrusive Load Monitoring based on Federated Deep Learning0
Secure and Privacy-Preserving Federated Learning via Co-Utility0
Anonymisation Models for Text Data: State of the art, Challenges and Future DirectionsCode0
Decentralized Deep Learning for Multi-Access Edge Computing: A Survey on Communication Efficiency and Trustworthiness0
Secure Bayesian Federated Analytics for Privacy-Preserving Trend Detection0
Feature Fusion Methods for Indexing and Retrieval of Biometric Data: Application to Face Recognition with Privacy Protection0
Sisyphus: A Cautionary Tale of Using Low-Degree Polynomial Activations in Privacy-Preserving Deep LearningCode0
Accelerating Federated Edge Learning via Optimized Probabilistic Device Scheduling0
Defending against Reconstruction Attack in Vertical Federated Learning0
Towards Privacy-preserving Explanations in Medical Image Analysis0
Image-Hashing-Based Anomaly Detection for Privacy-Preserving Online Proctoring0
Communication and Computation Reduction for Split Learning using Asynchronous Training0
An Experimental Study of Data Heterogeneity in Federated Learning Methods for Medical Imaging0
Towards autonomic orchestration of machine learning pipelines in future networks0
Learning Sparse Privacy-Preserving Representations for Smart Meters Data0
Privacy-preserving Spatiotemporal Scenario Generation of Renewable Energies: A Federated Deep Generative Learning Approach0
Uncertainty-Guided Mixup for Semi-Supervised Domain Adaptation without Source Data0
An Efficient DP-SGD Mechanism for Large Scale NLP Models0
A Distance Measure for Privacy-preserving Process Mining based on Feature Learning0
Towards Representation Identical Privacy-Preserving Graph Neural Network via Split Learning0
Federated Learning as a Mean-Field Game0
DER Forecast using Privacy Preserving Federated Learning0
Differentially private federated deep learning for multi-site medical image segmentationCode0
Differentially Private Sliced Wasserstein DistanceCode0
Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective0
Privacy-Preserving Image Acquisition Using Trainable Optical Kernel0
Learning Language and Multimodal Privacy-Preserving Markers of Mood from Mobile Data0
Handling Data Heterogeneity with Generative Replay in Collaborative Learning for Medical Imaging0
PALMAR: Towards Adaptive Multi-inhabitant Activity Recognition in Point-Cloud Technology0
A Vertical Federated Learning Framework for Graph Convolutional Network0
Data Optimisation for a Deep Learning Recommender System0
FedXGBoost: Privacy-Preserving XGBoost for Federated Learning0
A compressive multi-kernel method for privacy-preserving machine learning0
Scalable Differential Privacy With Sparse Network Finetuning0
Privacy Preserving Localization and Mapping From Uncalibrated Cameras0
Federated CycleGAN for Privacy-Preserving Image-to-Image Translation0
Privacy-Preserving Eye-tracking Using Deep Learning0
Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions0
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