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Privacy Preserving

Papers

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Showing 1001–1050 of 2975 papers

TitleStatusHype
Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients—0
Robust Skin Color Driven Privacy Preserving Face Recognition via Function Secret Sharing—0
Fair Federated Data Clustering through Personalization: Bridging the Gap between Diverse Data DistributionsCode0
A Unified Learn-to-Distort-Data Framework for Privacy-Utility Trade-off in Trustworthy Federated Learning—0
Non-Cooperative Backdoor Attacks in Federated Learning: A New Threat Landscape—0
FedSat: A Statistical Aggregation Approach for Class Imbalanced Clients in Federated Learning—0
Federated Fine-Tuning for Pre-Trained Foundation Models Over Wireless Networks—0
Prosody-Driven Privacy-Preserving Dementia DetectionCode0
Zero-X: A Blockchain-Enabled Open-Set Federated Learning Framework for Zero-Day Attack Detection in IoV—0
Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature—0
Correlated Privacy Mechanisms for Differentially Private Distributed Mean Estimation—0
Federated Distillation for Medical Image Classification: Towards Trustworthy Computer-Aided Diagnosis—0
Characterizing Stereotypical Bias from Privacy-preserving Pre-Training—0
Privacy-Preserving and Trustworthy Deep Learning for Medical Imaging—0
Comprehensive Generative Replay for Task-Incremental Segmentation with Concurrent Appearance and Semantic ForgettingCode0
A Quantization-based Technique for Privacy Preserving Distributed Learning—0
WavRx: a Disease-Agnostic, Generalizable, and Privacy-Preserving Speech Health Diagnostic ModelCode0
Privacy Preserving Reinforcement Learning for Population Processes—0
Automated Privacy-Preserving Techniques via Meta-LearningCode0
Robust Zero Trust Architecture: Joint Blockchain based Federated learning and Anomaly Detection based Framework—0
Privacy Preserving Machine Learning for Electronic Health Records using Federated Learning and Differential Privacy—0
Privacy Implications of Explainable AI in Data-Driven Systems—0
Privacy Preserved Blood Glucose Level Cross-Prediction: An Asynchronous Decentralized Federated Learning ApproachCode0
Communication-Efficient and Privacy-Preserving Decentralized Meta-Learning—0
Privacy Preserving Federated Learning in Medical Imaging with Uncertainty EstimationCode0
PDSS: A Privacy-Preserving Framework for Step-by-Step Distillation of Large Language Models—0
Update Selective Parameters: Federated Machine Unlearning Based on Model Explanation—0
Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions—0
Privacy-Preserving Heterogeneous Federated Learning for Sensitive Healthcare Data—0
Speed-up of Data Analysis with Kernel Trick in Encrypted Domain—0
Heterogeneous Federated Learning with Convolutional and Spiking Neural Networks—0
Applying Multi-Agent Negotiation to Solve the Production Routing Problem With Privacy Preserving—0
FLea: Addressing Data Scarcity and Label Skew in Federated Learning via Privacy-preserving Feature AugmentationCode0
Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints—0
A LoRa-based Energy-efficient Sensing System for Urban Data Collection—0
Privacy-Preserving Optimal Parameter Selection for Collaborative Clustering—0
Marking the Pace: A Blockchain-Enhanced Privacy-Traceable Strategy for Federated Recommender Systems—0
Contrastive Explainable Clustering with Differential Privacy—0
Privacy Preserving Semi-Decentralized Mean Estimation over Intermittently-Connected NetworksCode0
NAP^2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human—0
ST-DPGAN: A Privacy-preserving Framework for Spatiotemporal Data Generation—0
SSNet: A Lightweight Multi-Party Computation Scheme for Practical Privacy-Preserving Machine Learning Service in the Cloud—0
Mixed-Precision Federated Learning via Multi-Precision Over-The-Air Aggregation—0
FedAdOb: Privacy-Preserving Federated Deep Learning with Adaptive Obfuscation—0
No Vandalism: Privacy-Preserving and Byzantine-Robust Federated Learning—0
PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration—0
Efficient Data Distribution Estimation for Accelerated Federated Learning—0
Amalgam: A Framework for Obfuscated Neural Network Training on the CloudCode0
A Novel Review of Stability Techniques for Improved Privacy-Preserving Machine Learning—0
GANcrop: A Contrastive Defense Against Backdoor Attacks in Federated Learning—0
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