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Privacy Preserving

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Showing 476–500 of 2975 papers

TitleStatusHype
Backpropagation Clipping for Deep Learning with Differential PrivacyCode0
Position: On-Premises LLM Deployment Demands a Middle Path: Preserving Privacy Without Sacrificing Model ConfidentialityCode0
Exploring Federated Pruning for Large Language ModelsCode0
Experimenting with Normalization Layers in Federated Learning on non-IID scenariosCode0
Exploring Selective Layer Fine-Tuning in Federated LearningCode0
ER-AE: Differentially Private Text Generation for Authorship AnonymizationCode0
Enhancing Trade-offs in Privacy, Utility, and Computational Efficiency through MUltistage Sampling Technique (MUST)Code0
Estimating Model Performance on External Samples from Their Limited Statistical CharacteristicsCode0
A V2X-based Privacy Preserving Federated Measuring and Learning SystemCode0
Auto-weighted Robust Federated Learning with Corrupted Data SourcesCode0
Communication Efficient and Privacy-Preserving Federated Learning Based on Evolution StrategiesCode0
On Membership Inference Attacks in Knowledge DistillationCode0
Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series ClassificationCode0
An Empirical Study on the Intrinsic Privacy of SGDCode0
On the Price of Differential Privacy for Hierarchical ClusteringCode0
Enhanced Outsourced and Secure Inference for Tall Sparse Decision TreesCode0
Automatic Discovery of Privacy-Utility Pareto FrontsCode0
Empowering Data Mesh with Federated LearningCode0
Enhancing Small Medical Learners with Privacy-preserving Contextual PromptingCode0
Automated Privacy-Preserving Techniques via Meta-LearningCode0
Empathy Detection from Text, Audiovisual, Audio or Physiological Signals: A Systematic Review of Task Formulations and Machine Learning MethodsCode0
A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile AnalyticsCode0
P3GM: Private High-Dimensional Data Release via Privacy Preserving Phased Generative ModelCode0
Exploring the Landscape for Generative Sequence Models for Specialized Data SynthesisCode0
Aura: Privacy-preserving Augmentation to Improve Test Set Diversity in Speech EnhancementCode0
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