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Privacy Preserving

Papers

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Showing 1001–1025 of 2975 papers

TitleStatusHype
Robust Skin Color Driven Privacy Preserving Face Recognition via Function Secret Sharing—0
Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients—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
Prosody-Driven Privacy-Preserving Dementia DetectionCode0
Federated Fine-Tuning for Pre-Trained Foundation Models Over Wireless Networks—0
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
Robust Zero Trust Architecture: Joint Blockchain based Federated learning and Anomaly Detection based Framework—0
Automated Privacy-Preserving Techniques via Meta-LearningCode0
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
Update Selective Parameters: Federated Machine Unlearning Based on Model Explanation—0
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