SOTAVerified

Privacy Preserving

Papers

Showing 451475 of 2975 papers

TitleStatusHype
FADAS: Towards Federated Adaptive Asynchronous OptimizationCode0
A Framework for Evaluating Privacy-Utility Trade-off in Vertical Federated LearningCode0
Exploring Selective Layer Fine-Tuning in Federated LearningCode0
Feature-based Learning for Diverse and Privacy-Preserving Counterfactual ExplanationsCode0
Exploring the Landscape for Generative Sequence Models for Specialized Data SynthesisCode0
CrowdGuard: Federated Backdoor Detection in Federated LearningCode0
(Local) Differential Privacy has NO Disparate Impact on FairnessCode0
Fair Federated Data Clustering through Personalization: Bridging the Gap between Diverse Data DistributionsCode0
Locally Private Bayesian Inference for Count ModelsCode0
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy ConstraintsCode0
Experimenting with Normalization Layers in Federated Learning on non-IID scenariosCode0
Low Latency Privacy Preserving InferenceCode0
Exploring Federated Pruning for Large Language ModelsCode0
Privacy-preserving datasets by capturing feature distributions with Conditional VAEsCode0
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated LearningCode0
A Privacy-Preserving Unsupervised Speaker Disentanglement Method for Depression Detection from SpeechCode0
A Privacy-Preserving Walk in the Latent Space of Generative Models for Medical ApplicationsCode0
Backpropagation Clipping for Deep Learning with Differential PrivacyCode0
Enhancing Trade-offs in Privacy, Utility, and Computational Efficiency through MUltistage Sampling Technique (MUST)Code0
A generic framework for privacy preserving deep learningCode0
Enhanced Outsourced and Secure Inference for Tall Sparse Decision TreesCode0
Enhancing Small Medical Learners with Privacy-preserving Contextual PromptingCode0
MLitB: Machine Learning in the BrowserCode0
Collaborative Learning From Distributed Data With Differentially Private Synthetic Twin DataCode0
ER-AE: Differentially Private Text Generation for Authorship AnonymizationCode0
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