SOTAVerified

Privacy Preserving

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1301–1325 of 2975 papers

TitleStatusHype
A Homomorphic Encryption Framework for Privacy-Preserving Spiking Neural Networks—0
ReLU and Addition-based Gated RNN—0
Feature Matching Data Synthesis for Non-IID Federated Learning—0
FaceSkin: A Privacy Preserving Facial skin patch Dataset for multi Attributes classification—0
Collaborative Learning From Distributed Data With Differentially Private Synthetic Twin DataCode0
Differentially Private Graph Neural Network with Importance-Grained Noise Adaption—0
Representation Learning for Audio Privacy Preservation using Source Separation and Robust Adversarial Learning—0
A Survey on Decentralized Federated Learning—0
Randomized algorithms for precise measurement of differentially-private, personalized recommendationsCode1
Binary Federated Learning with Client-Level Differential Privacy—0
Labeling without Seeing? Blind Annotation for Privacy-Preserving Entity Resolution—0
When Federated Learning meets Watermarking: A Comprehensive Overview of Techniques for Intellectual Property Protection—0
Cross-Silo Prototypical Calibration for Federated Learning with Non-IID DataCode1
Federated Representation Learning for Automatic Speech Recognition—0
AQUILA: Communication Efficient Federated Learning with Adaptive Quantization in Device Selection Strategy—0
Shuffled Differentially Private Federated Learning for Time Series Data Analytics—0
Catching Elusive Depression via Facial Micro-Expression Recognition—0
Blockchain-empowered Federated Learning for Healthcare Metaverses: User-centric Incentive Mechanism with Optimal Data Freshness—0
Exploit the Leak: Understanding Risks in Biometric Matchers—0
Node Injection Link Stealing Attack—0
A Differentially Private Weighted Empirical Risk Minimization Procedure and its Application to Outcome Weighted LearningCode0
Towards Vertical Privacy-Preserving Symbolic Regression via Secure Multiparty Computation—0
SecureBoost Hyperparameter Tuning via Multi-Objective Federated Learning—0
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency—0
Blockchain-Based Federated Learning: Incentivizing Data Sharing and Penalizing Dishonest Behavior—0
Show:102550
← PrevPage 53 of 119Next →

No leaderboard results yet.