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Privacy Preserving

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Showing 926–950 of 2975 papers

TitleStatusHype
Explainable Link Prediction for Privacy-Preserving Contact Tracing—0
Exploring adversarial attacks in federated learning for medical imaging—0
Exploring a Patch-Wise Approach for Privacy-Preserving Fake ID Detection—0
Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks—0
Exploring Domain-Invariant Parameters for Source Free Domain Adaptation—0
Efficient Privacy-Preserving Stochastic Nonconvex Optimization—0
Efficient Privacy-Preserving KAN Inference Using Homomorphic Encryption—0
Efficient Privacy Preserving Edge Computing Framework for Image Classification—0
Exploring Lightweight Federated Learning for Distributed Load Forecasting—0
Efficient Personalized Learning for Wearable Health Applications using HyperDimensional Computing—0
Exploring Machine Learning Privacy/Utility trade-off from a hyperparameters Lens—0
Exploring One-shot Semi-supervised Federated Learning with A Pre-trained Diffusion Model—0
Exploring Personalized Federated Learning Architectures for Violence Detection in Surveillance Videos—0
A Privacy-Preserving-Oriented DNN Pruning and Mobile Acceleration Framework—0
Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization—0
Efficiently Achieving Secure Model Training and Secure Aggregation to Ensure Bidirectional Privacy-Preservation in Federated Learning—0
Canopy: A Verifiable Privacy-Preserving Token Ring based Communication Protocol for Smart Homes—0
Efficient Privacy Preserving Logistic Regression for Horizontally Distributed Data—0
Exploring the Practicality of Federated Learning: A Survey Towards the Communication Perspective—0
Efficient Implementation of Reinforcement Learning over Homomorphic Encryption—0
Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment—0
Can One Safety Loop Guard Them All? Agentic Guard Rails for Federated Computing—0
Extreme Low Resolution Activity Recognition with Multi-Siamese Embedding Learning—0
A Privacy-preserving Distributed Training Framework for Cooperative Multi-agent Deep Reinforcement Learning—0
A Federated Deep Learning Framework for Privacy Preservation and Communication Efficiency—0
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