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Privacy Preserving

Papers

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Showing 851–900 of 2975 papers

TitleStatusHype
ADMarker: A Multi-Modal Federated Learning System for Monitoring Digital Biomarkers of Alzheimer's Disease—0
Efficient Privacy Preserving Edge Computing Framework for Image Classification—0
Efficient Privacy-Preserving KAN Inference Using Homomorphic Encryption—0
Efficient Privacy-Preserving Stochastic Nonconvex Optimization—0
Efficient Privacy Preserving Viola-Jones Type Object Detection via Random Base Image Representation—0
Efficient Privacy-Preserving Visual Localization Using 3D Ray Clouds—0
Efficient Private Machine Learning by Differentiable Random Transformations—0
Efficient privacy-preserving inference for convolutional neural networks—0
Efficient Skip Connections Realization for Secure Inference on Encrypted Data—0
Efficient Sparse Least Absolute Deviation Regression with Differential Privacy—0
Efficient Vertical Federated Learning with Secure Aggregation—0
Elastic Aggregation for Federated Optimization—0
Real-Time Privacy-Preserving Data Release for Smart Meters—0
Deep Quaternion Features for Privacy Protection—0
An Algorithm for Learning Shape and Appearance Models without Annotations—0
Achieving Differential Privacy in Vertically Partitioned Multiparty Learning—0
Empirical Privacy Evaluations of Generative and Predictive Machine Learning Models -- A review and challenges for practice—0
CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference—0
Empowering Digital Agriculture: A Privacy-Preserving Framework for Data Sharing and Collaborative Research—0
Empowering Healthcare through Privacy-Preserving MRI Analysis—0
Enabling Efficient Privacy-Assured Outlier Detection over Encrypted Incremental Datasets—0
Enabling External Scrutiny of AI Systems with Privacy-Enhancing Technologies—0
Enabling Noninvasive Physical Assault Monitoring in Smart School with Commercial Wi-Fi Devices—0
Enabling Privacy-Preserving GWAS in Heterogeneous Human Populations—0
Encrypted Data-driven Predictive Cloud Control with Disturbance Observer—0
Encrypted extremum seeking for privacy-preserving PID tuning as-a-Service—0
Encrypted Large Model Inference: The Equivariant Encryption Paradigm—0
Encrypted statistical machine learning: new privacy preserving methods—0
Exploring FMCW Radars and Feature Maps for Activity Recognition: A Benchmark Study—0
Deep Privacy Funnel Model: From a Discriminative to a Generative Approach with an Application to Face Recognition—0
End to End Collaborative Synthetic Data Generation—0
Energy-Aware Edge Association for Cluster-based Personalized Federated Learning—0
Energy-efficient and Privacy-aware Social Distance Monitoring with Low-resolution Infrared Sensors and Adaptive Inference—0
Engagement Measurement Based on Facial Landmarks and Spatial-Temporal Graph Convolutional Networks—0
Characterizing Stereotypical Bias from Privacy-preserving Pre-Training—0
Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: a data-driven approach for improved classification—0
Enhancing Federated Learning with Kolmogorov-Arnold Networks: A Comparative Study Across Diverse Aggregation Strategies—0
Enhancing Mutual Trustworthiness in Federated Learning for Data-Rich Smart Cities—0
Enhancing Object Detection with Hybrid dataset in Manufacturing Environments: Comparing Federated Learning to Conventional Techniques—0
Enhancing Privacy in ControlNet and Stable Diffusion via Split Learning—0
Deep Optical Coding Design in Computational Imaging—0
Attention-based Generative Latent Replay: A Continual Learning Approach for WSI Analysis—0
Enhancing Security and Privacy in Federated Learning using Low-Dimensional Update Representation and Proximity-Based Defense—0
Chisme: Fully Decentralized Differentiated Deep Learning for Edge Intelligence—0
DeepObfuscator: Obfuscating Intermediate Representations with Privacy-Preserving Adversarial Learning on Smartphones—0
An advanced data fabric architecture leveraging homomorphic encryption and federated learning—0
Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos—0
Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learning—0
DeepMA: End-to-end Deep Multiple Access for Wireless Image Transmission in Semantic Communication—0
ADI: Adversarial Dominating Inputs in Vertical Federated Learning Systems—0
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