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Privacy Preserving

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Showing 2901–2950 of 2975 papers

TitleStatusHype
Encrypted statistical machine learning: new privacy preserving methods—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
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
Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy—0
Enhancing Security and Privacy in Federated Learning using Low-Dimensional Update Representation and Proximity-Based Defense—0
Enhancing stop location detection for incomplete urban mobility datasets—0
Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learning—0
Enigma: Privacy-Preserving Execution of QAOA on Untrusted Quantum Computers—0
ENSEI: Efficient Secure Inference via Frequency-Domain Homomorphic Convolution for Privacy-Preserving Visual Recognition—0
Ensemble Attention Distillation for Privacy-Preserving Federated Learning—0
Environment-independent mmWave Fall Detection with Interacting Multiple Model—0
EPIC: Enhancing Privacy through Iterative Collaboration—0
Epidemic Exposure Notification with Smartwatch: A Proximity-Based Privacy-Preserving Approach—0
Epidemic mitigation by statistical inference from contact tracing data—0
ESMFL: Efficient and Secure Models for Federated Learning—0
Estimation of conditional average treatment effects on distributed confidential data—0
Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets—0
Evaluating Differentially Private Synthetic Data Generation in High-Stakes Domains—0
Evaluating Query Efficiency and Accuracy of Transfer Learning-based Model Extraction Attack in Federated Learning—0
Evaluating the Immediate Applicability of Pose Estimation for Sign Language Recognition—0
EVA-S2PLoR: A Secure Element-wise Multiplication Meets Logistic Regression on Heterogeneous Database—0
Event Encryption: Rethinking Privacy Exposure for Neuromorphic Imaging—0
Every Query Counts: Analyzing the Privacy Loss of Exploratory Data Analyses—0
Evolution as a Service: A Privacy-Preserving Genetic Algorithm for Combinatorial Optimization—0
Evaluating Privacy Leakage in Split Learning—0
ExChanGeAI: An End-to-End Platform and Efficient Foundation Model for Electrocardiogram Analysis and Fine-tuning—0
Explainability and Continual Learning meet Federated Learning at the Network Edge—0
Explainable Artificial Intelligence for Quantifying Interfering and High-Risk Behaviors in Autism Spectrum Disorder in a Real-World Classroom Environment Using Privacy-Preserving Video Analysis—0
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
Exploring FMCW Radars and Feature Maps for Activity Recognition: A Benchmark Study—0
Exploring Incremental Unlearning: Techniques, Challenges, and Future Directions—0
Exploring Lightweight Federated Learning for Distributed Load Forecasting—0
Exploring Machine Learning Models for Federated Learning: A Review of Approaches, Performance, and Limitations—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
Exploring the Impact of Disrupted Peer-to-Peer Communications on Fully Decentralized Learning in Disaster Scenarios—0
Exploring the Practicality of Federated Learning: A Survey Towards the Communication Perspective—0
Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment—0
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