SOTAVerified

Privacy Preserving

Papers

Showing 17261750 of 2975 papers

TitleStatusHype
No Free Lunch in "Privacy for Free: How does Dataset Condensation Help Privacy"0
A Secure Federated Learning Framework for Residential Short Term Load Forecasting0
Federated Stain Normalization for Computational PathologyCode0
Momentum Gradient Descent Federated Learning with Local Differential Privacy0
Securing Federated Learning against Overwhelming Collusive Attackers0
A Snapshot of the Frontiers of Client Selection in Federated Learning0
Privacy-Preserving Synthetic Data Generation for Recommendation SystemsCode1
Feature-based Learning for Diverse and Privacy-Preserving Counterfactual ExplanationsCode0
DP-TrajGAN_ A privacy-aware trajectory generation model with differential privacy0
Privacy-Preserving Online Content Moderation: A Federated Learning Use Case0
Differentially private partitioned variational inferenceCode0
Vector-valued Privacy-Preserving Average Consensus0
Privacy-Preserving Person Detection Using Low-Resolution Infrared Cameras0
PolyMPCNet: Towards ReLU-free Neural Architecture Search in Two-party Computation Based Private Inference0
Audit and Improve Robustness of Private Neural Networks on Encrypted Data0
Hierarchical fuzzy neural networks with privacy preservation for heterogeneous big dataCode0
Privacy-Preserving Distributed Expectation Maximization for Gaussian Mixture Model using Subspace Perturbation0
Federated Coordinate Descent for Privacy-Preserving Multiparty Linear Regression0
Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning using Independent Component Analysis0
Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer LearningCode1
Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation0
Differentially Private Stochastic Gradient Descent with Low-Noise0
Bridging the Gap: Differentially Private Equivariant Deep Learning for Medical Image Analysis0
FADE: Enabling Federated Adversarial Training on Heterogeneous Resource-Constrained Edge Devices0
A Framework for Evaluating Privacy-Utility Trade-off in Vertical Federated LearningCode0
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