SOTAVerified

Privacy Preserving

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 901–950 of 2975 papers

TitleStatusHype
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
Client Selection in Federated Learning: Principles, Challenges, and Opportunities—0
ESMFL: Efficient and Secure Models for Federated Learning—0
Client Selection Strategies for Federated Semantic Communications in Heterogeneous IoT Networks—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
Clipped SGD Algorithms for Performative Prediction: Tight Bounds for Clipping Bias and Remedies—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
An advanced data fabric architecture leveraging homomorphic encryption and federated learning—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
DeepMA: End-to-end Deep Multiple Access for Wireless Image Transmission in Semantic Communication—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
Cluster-Enhanced Federated Graph Neural Network for Recommendation—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
ADI: Adversarial Dominating Inputs in Vertical Federated Learning Systems—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
SGDE: Secure Generative Data Exchange for Cross-Silo Federated Learning—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
Deep Learning with Data Privacy via Residual Perturbation—0
A Quantization-based Technique for Privacy Preserving Distributed Learning—0
Deep Learning in the Field of Biometric Template Protection: An Overview—0
Exploring the Impact of Disrupted Peer-to-Peer Communications on Fully Decentralized Learning in Disaster Scenarios—0
Collaborative and Privacy-Preserving Machine Teaching via Consensus Optimization—0
Exploring the Practicality of Federated Learning: A Survey Towards the Communication Perspective—0
α-Mutual Information: A Tunable Privacy Measure for Privacy Protection in Data Sharing—0
Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment—0
Feasibility Analysis of Federated Neural Networks for Explainable Detection of Atrial Fibrillation—0
Extreme Low Resolution Activity Recognition with Multi-Siamese Embedding Learning—0
Extreme Low Resolution Activity Recognition with Confident Spatial-Temporal Attention Transfer—0
Feature Fusion Methods for Indexing and Retrieval of Biometric Data: Application to Face Recognition with Privacy Protection—0
Show:102550
← PrevPage 19 of 60Next →

No leaderboard results yet.