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Privacy Preserving

Papers

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Showing 2701–2750 of 2975 papers

TitleStatusHype
Differentially private federated deep learning for multi-site medical image segmentationCode0
RID-TWIN: An end-to-end pipeline for automatic face de-identification in videosCode0
Privacy-Preserving Adaptive Re-Identification without Image TransferCode0
WavRx: a Disease-Agnostic, Generalizable, and Privacy-Preserving Speech Health Diagnostic ModelCode0
A Differentially Private Weighted Empirical Risk Minimization Procedure and its Application to Outcome Weighted LearningCode0
RiM: Record, Improve and Maintain Physical Well-being using Federated LearningCode0
MyDigiTwin: A Privacy-Preserving Framework for Personalized Cardiovascular Risk Prediction and Scenario ExplorationCode0
Asynchronous Federated Learning: A Scalable Approach for Decentralized Machine LearningCode0
Generalizability and Application of the Skin Reflectance Estimate Based on Dichromatic Separation (SREDS)Code0
Experimenting with Normalization Layers in Federated Learning on non-IID scenariosCode0
Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learningCode0
Generalized Federated Learning via Sharpness Aware MinimizationCode0
Generalizing in Net-Zero Microgrids: A Study with Federated PPO and TRPOCode0
Towards Secure and Practical Machine Learning via Secret Sharing and Random PermutationCode0
Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLMCode0
A generic framework for privacy preserving deep learningCode0
Generating gender-ambiguous voices for privacy-preserving speech recognitionCode0
Robust Aggregation for Federated LearningCode0
Robust and Communication-Efficient Federated Learning from Non-IID DataCode0
Privately Learning from Graphs with Applications in Fine-tuning Large Language ModelsCode0
Generating Synthetic Free-text Medical Records with Low Re-identification Risk using Masked Language ModelingCode0
Generating Synthetic Health Sensor Data for Privacy-Preserving Wearable Stress DetectionCode0
Differentially Private Distributed Bayesian Linear Regression with MCMCCode0
Privacy-Preserving and Lossless Distributed Estimation of High-Dimensional Generalized Additive Mixed ModelsCode0
Towards Efficient and Secure Delivery of Data for Deep Learning with Privacy-PreservingCode0
Generative AI-Powered Plugin for Robust Federated Learning in Heterogeneous IoT NetworksCode0
Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series ClassificationCode0
Efficient Node Selection in Private Personalized Decentralized LearningCode0
Privacy and Accuracy Implications of Model Complexity and Integration in Heterogeneous Federated LearningCode0
Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry DetectionCode0
Estimating Model Performance on External Samples from Their Limited Statistical CharacteristicsCode0
Private Outsourced Bayesian OptimizationCode0
Robust Federated Learning Against Poisoning Attacks: A GAN-Based Defense FrameworkCode0
Global Balanced Experts for Federated Long-Tailed LearningCode0
NIPD: A Federated Learning Person Detection Benchmark Based on Real-World Non-IID DataCode0
Differentially Private Bootstrap: New Privacy Analysis and Inference StrategiesCode0
GOD model: Privacy Preserved AI School for Personal AssistantCode0
Goten: GPU-Outsourcing Trusted Execution of Neural Network Training and PredictionCode0
ER-AE: Differentially Private Text Generation for Authorship AnonymizationCode0
Privacy-Preserving Models for Legal Natural Language ProcessingCode0
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy ConstraintsCode0
Gradient Inversion Attacks on Parameter-Efficient Fine-TuningCode0
Privacy-preserving Q-Learning with Functional Noise in Continuous State SpacesCode0
Gradient Leakage Defense with Key-Lock Module for Federated LearningCode0
Enhancing Trade-offs in Privacy, Utility, and Computational Efficiency through MUltistage Sampling Technique (MUST)Code0
Privacy-Preserving Autoencoder for Collaborative Object DetectionCode0
ARIA: On the Interaction Between Architectures, Initialization and Aggregation Methods for Federated Visual ClassificationCode0
Privacy-Preserving BanditsCode0
Enhancing Small Medical Learners with Privacy-preserving Contextual PromptingCode0
Towards Synthetic Data Generation for Improved Pain Recognition in Videos under Patient ConstraintsCode0
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