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Privacy Preserving

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Showing 2451–2500 of 2975 papers

TitleStatusHype
Communication-Computation Efficient Secure Aggregation for Federated Learning—0
Research Challenges in Designing Differentially Private Text Generation Mechanisms—0
Explainable Link Prediction for Privacy-Preserving Contact Tracing—0
Privacy-Preserving Spam Filtering using Functional Encryption—0
Privacy and Robustness in Federated Learning: Attacks and Defenses—0
Privacy-Preserving Synthetic Smart Meters Data—0
SoK: Training Machine Learning Models over Multiple Sources with Privacy Preservation—0
Multimodal Privacy-preserving Mood Prediction from Mobile Data: A Preliminary Study—0
Gradient Sparsification Can Improve Performance of Differentially-Private Convex Machine Learning—0
Privacy-Preserving Federated Learning for UAV-Enabled Networks: Learning-Based Joint Scheduling and Resource Management—0
SocialGuard: An Adversarial Example Based Privacy-Preserving Technique for Social Images—0
Privacy Preserving for Medical Image Analysis via Non-Linear Deformation Proxy—0
Improving Federated Relational Data Modeling via Basis Alignment and Weight Penalty—0
Deep Directed Information-Based Learning for Privacy-Preserving Smart Meter Data Release—0
Survey and Open Problems in Privacy Preserving Knowledge Graph: Merging, Query, Representation, Completion and Applications—0
FedEval: A Holistic Evaluation Framework for Federated Learning—0
FLaaS: Federated Learning as a Service—0
Distributed Online Learning with Multiple Kernels—0
Stochastic Client Selection for Federated Learning with Volatile Clients—0
A Distributed Differentially Private Algorithm for Resource Allocation in Unboundedly Large Settings—0
A Distributed Privacy-Preserving Learning Dynamics in General Social Networks—0
Privacy-Preserving Pose Estimation for Human-Robot InteractionCode0
Privacy Preserving in Non-Intrusive Load Monitoring: A Differential Privacy Perspective—0
On Polynomial Approximations for Privacy-Preserving and Verifiable ReLU Networks—0
A Systematic Comparison of Encrypted Machine Learning Solutions for Image Classification—0
Privacy Preservation in Federated Learning: An insightful survey from the GDPR Perspective—0
Compression Boosts Differentially Private Federated Learning—0
FedSL: Federated Split Learning on Distributed Sequential Data in Recurrent Neural NetworksCode0
Paralinguistic Privacy Protection at the Edge—0
HeLayers: A Tile Tensors Framework for Large Neural Networks on Encrypted Data—0
A Scalable Approach for Privacy-Preserving Collaborative Machine Learning—0
A Differentially Private Text Perturbation Method Using Regularized Mahalanobis Metric—0
FedED: Federated Learning via Ensemble Distillation for Medical Relation Extraction—0
A Privacy-Preserving Content-Based Image Retrieval Scheme Allowing Mixed Use Of Encrypted And Plain Images—0
Flimma: a federated and privacy-preserving tool for differential gene expression analysisCode0
Private Outsourced Bayesian OptimizationCode0
Graph-Homomorphic Perturbations for Private Decentralized Learning—0
Avoiding Occupancy Detection from Smart Meter using Adversarial Machine Learning—0
A Differentially Private Text Perturbation Method Using a Regularized Mahalanobis Metric—0
DPD-InfoGAN: Differentially Private Distributed InfoGAN—0
Few-shot Image Recognition with Manifolds—0
CryptoGRU: Low Latency Privacy-Preserving Text Analysis With GRU—0
Towards Real-time Drowsiness Detection for Elderly Care—0
Privacy-Preserving Visual Content Tagging using Graph Transformer NetworksCode0
Privacy-Preserving Visual Content Tagging using Graph Transformer NetworksCode0
Monitoring Large Crowds With WiFi: A Privacy-Preserving Approach—0
Privacy-preserving Data Sharing on Vertically Partitioned Data—0
Sniper GMMs: Structured Gaussian mixtures poison ML on large n small p data with high efficacy—0
PrivNet: Safeguarding Private Attributes in Transfer Learning for Recommendation—0
Multi-Agent Trust Region Policy OptimizationCode0
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