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Privacy Preserving

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Showing 951–975 of 2975 papers

TitleStatusHype
Semantic-Enabled 6G Communication: A Task-oriented and Privacy-preserving Perspective—0
Speech privacy-preserving methods using secret key for convolutional neural network models and their robustness evaluationCode0
Soft-Hard Attention U-Net Model and Benchmark Dataset for Multiscale Image Shadow Removal—0
HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection—0
IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection—0
Privacy-Preserving Split Learning with Vision Transformers using Patch-Wise Random and Noisy CutMix—0
Long-Term Conversation Analysis: Privacy-Utility Trade-off under Noise and Reverberation—0
Privacy-preserving datasets by capturing feature distributions with Conditional VAEsCode0
Explainable Artificial Intelligence for Quantifying Interfering and High-Risk Behaviors in Autism Spectrum Disorder in a Real-World Classroom Environment Using Privacy-Preserving Video Analysis—0
Federated Knowledge Recycling: Privacy-Preserving Synthetic Data Sharing—0
Federated Learning based Latent Factorization of Tensors for Privacy-Preserving QoS Prediction—0
Unleash the Power of Ellipsis: Accuracy-enhanced Sparse Vector Technique with Exponential Noise—0
F-KANs: Federated Kolmogorov-Arnold NetworksCode0
Context-Enhanced CSI Tracking Using Koopman-Inspired Dual Autoencoders in Dynamic Wireless Environments—0
FedUD: Exploiting Unaligned Data for Cross-Platform Federated Click-Through Rate Prediction—0
Unveiling Privacy Vulnerabilities: Investigating the Role of Structure in Graph Data—0
FedAR: Addressing Client Unavailability in Federated Learning with Local Update Approximation and Rectification—0
FADAS: Towards Federated Adaptive Asynchronous OptimizationCode0
Privacy Threats and Countermeasures in Federated Learning for Internet of Things: A Systematic Review—0
SCALE: Self-regulated Clustered federAted LEarning in a Homogeneous Environment—0
Privacy-Preserving Hierarchical Model-Distributed Inference—0
A Hybrid Federated Kernel Regularized Least Squares Algorithm—0
SFPrompt: Communication-Efficient Split Federated Fine-Tuning for Large Pre-Trained Models over Resource-Limited Devices—0
Low-Latency Privacy-Preserving Deep Learning Design via Secure MPC—0
Synthetic Trajectory Generation Through Convolutional Neural NetworksCode0
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