SOTAVerified

Privacy Preserving

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 901–950 of 2975 papers

TitleStatusHype
Efficient Skip Connections Realization for Secure Inference on Encrypted Data—0
Environment-independent mmWave Fall Detection with Interacting Multiple Model—0
Case Study: Fine-tuning Small Language Models for Accurate and Private CWE Detection in Python Code—0
Epidemic Exposure Notification with Smartwatch: A Proximity-Based Privacy-Preserving Approach—0
A Privacy-Preserving Energy Management System for Cooperative Multi-Microgrid Networks—0
Efficient privacy-preserving inference for convolutional neural networks—0
ESMFL: Efficient and Secure Models for Federated Learning—0
Efficient Private Machine Learning by Differentiable Random Transformations—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
CARMA: Fair and efficient bottleneck congestion management via non-tradable karma credits—0
Efficient Privacy-Preserving Visual Localization Using 3D Ray Clouds—0
Evaluating the Immediate Applicability of Pose Estimation for Sign Language Recognition—0
Efficient Privacy Preserving Viola-Jones Type Object Detection via Random Base Image Representation—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
Caring Without Sharing: A Federated Learning Crowdsensing Framework for Diversifying Representation of Cities—0
Evolution as a Service: A Privacy-Preserving Genetic Algorithm for Combinatorial Optimization—0
A Privacy-Preserving Domain Adversarial Federated learning for multi-site brain functional connectivity analysis—0
ExChanGeAI: An End-to-End Platform and Efficient Foundation Model for Electrocardiogram Analysis and Fine-tuning—0
A Federated Learning Framework for Smart Grids: Securing Power Traces in Collaborative Learning—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
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
Show:102550
← PrevPage 19 of 60Next →

No leaderboard results yet.