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Privacy Preserving

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Showing 2651–2700 of 2975 papers

TitleStatusHype
DP-MERF: Differentially Private Mean Embeddings with Random Features for Practical Privacy-Preserving Data GenerationCode1
Optimizing Privacy-Preserving Outsourced Convolutional Neural Network Predictions—0
Anonymizing Data for Privacy-Preserving Federated Learning—0
PrivacyFL: A simulator for privacy-preserving and secure federated learningCode1
Federated Extra-Trees with Privacy Preserving—0
Distributed Sketching Methods for Privacy Preserving Regression—0
MAGNETO: Fingerprinting USB Flash Drives via Unintentional Magnetic Emissions—0
High Performance Logistic Regression for Privacy-Preserving Genome AnalysisCode0
Privacy-Preserving Image Classification in the Local Setting—0
Privacy-Preserving Boosting in the Local Setting—0
Secure Social Recommendation based on Secret Sharing—0
Privacy Preserving PCA for Multiparty Modeling—0
Knowledge Federation: A Unified and Hierarchical Privacy-Preserving AI Framework—0
Privacy-Preserving Image Sharing via Sparsifying Layers on Convolutional GroupsCode0
CryptoSPN: Privacy-preserving Sum-Product Network Inference—0
Multi-Participant Multi-Class Vertical Federated Learning—0
FOCUS: Dealing with Label Quality Disparity in Federated Learning—0
Privacy-Preserving Gaussian Process Regression -- A Modular Approach to the Application of Homomorphic Encryption—0
Bilevel Optimization for Differentially Private Optimization in Energy Systems—0
A Federated Deep Learning Framework for Privacy Preservation and Communication Efficiency—0
Stratified cross-validation for unbiased and privacy-preserving federated learning—0
Secure and Robust Machine Learning for Healthcare: A Survey—0
Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE ResultsCode1
Privacy-Preserving Deep Learning Computation for Geo-Distributed Medical Big-Data Platforms—0
Secure multiparty computations in floating-point arithmetic—0
Federated Learning for Localization: A Privacy-Preserving Crowdsourcing Method—0
Outsourced Bayesian Optimization—0
Reinforcement Learning with Differential Privacy—0
Robust Aggregation for Federated LearningCode0
privGAN: Protecting GANs from membership inference attacks at low costCode0
Differentially Private M-band Wavelet-Based Mechanisms in Machine Learning EnvironmentsCode0
Privacy-Preserving Public Release of Datasets for Support Vector Machine Classification—0
Cronus: Robust and Heterogeneous Collaborative Learning with Black-Box Knowledge Transfer—0
Learning to Prevent Leakage: Privacy-Preserving Inference in the Mobile Cloud—0
Privacy-Preserving Collaborative Operation of Networked Microgrids with the Local Utility Grid Based on Enhanced Benders Decomposition—0
HybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning—0
Privacy-Preserving Blockchain Based Federated Learning with Differential Data Sharing—0
Privacy-preserving data sharing via probabilistic modellingCode1
Privacy-Preserving Inference in Machine Learning Services Using Trusted Execution EnvironmentsCode0
An Empirical Study on the Intrinsic Privacy of SGDCode0
Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning—0
Privacy-Preserving Classification of Personal Text Messages with Secure Multi-Party Computation—0
Privacy-Preserving Q-Learning with Functional Noise in Continuous SpacesCode0
Partially Encrypted Deep Learning using Functional EncryptionCode0
Federated Learning for Ranking Browser History Suggestions—0
Privacy preserving Neural Network Inference on Encrypted Data with GPUs—0
PPSM: A Privacy-Preserving Stackelberg Mechanism: Privacy Guarantees for the Coordination of Sequential Electricity and Gas Markets—0
Privacy-preserving parametric inference: a case for robust statistics—0
Adversarial Learning of Privacy-Preserving and Task-Oriented Representations—0
Glyph: Fast and Accurately Training Deep Neural Networks on Encrypted Data—0
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