SOTAVerified

Privacy Preserving

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2001–2025 of 2975 papers

TitleStatusHype
Locally Differentially Private Distributed Deep Learning via Knowledge DistillationCode0
ABG: A Multi-Party Mixed Protocol Framework for Privacy-Preserving Cooperative Learning—0
Energy-Aware Edge Association for Cluster-based Personalized Federated Learning—0
Efficient Privacy Preserving Logistic Regression for Horizontally Distributed Data—0
Linear Model Against Malicious Adversaries with Local Differential Privacy—0
Training Differentially Private Models with Secure Multiparty Computation—0
PrivPAS: A real time Privacy-Preserving AI System and applied ethics—0
Privacy-preserving Speech Emotion Recognition through Semi-Supervised Federated LearningCode1
Privacy-Aware Crowd Labelling for Machine Learning Tasks—0
Comparative assessment of federated and centralized machine learning—0
Improved Regret for Differentially Private Exploration in Linear MDP—0
Gromov-Wasserstein Discrepancy with Local Differential Privacy for Distributed Structural Graphs—0
A Privacy-Preserving Image Retrieval Scheme with a Mixture of Plain and EtC Images—0
Studying the Robustness of Anti-adversarial Federated Learning Models Detecting Cyberattacks in IoT Spectrum Sensors—0
Heterogeneous Federated Learning via Grouped Sequential-to-Parallel Training—0
Lessons from the AdKDD'21 Privacy-Preserving ML Challenge—0
Challenges and approaches to privacy preserving post-click conversion prediction—0
Volley Revolver: A Novel Matrix-Encoding Method for Privacy-Preserving Neural Networks (Inference)Code0
Domain-Invariant Representation Learning from EEG with Private EncodersCode1
Privacy-Preserving Logistic Regression Training with A Faster Gradient VariantCode0
An Overview of Compressible and Learnable Image Transformation with Secret Key and Its Applications—0
Differentially-Private Heat and Electricity Markets Coordination—0
Pre-Trained Language Transformers are Universal Image Classifiers—0
Stochastic Coded Federated Learning with Convergence and Privacy Guarantees—0
Towards Private Learning on Decentralized Graphs with Local Differential Privacy—0
Show:102550
← PrevPage 81 of 119Next →

No leaderboard results yet.