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Privacy Preserving

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Showing 626–650 of 2975 papers

TitleStatusHype
Differentially Private Online Learning for Cloud-Based Video Recommendation with Multimedia Big Data in Social Networks—0
Differentially Private Recursive Least Squares Estimation for ARX Systems with Multi-Participants—0
Differentially Private Stochastic Gradient Descent with Low-Noise—0
Differential Privacy-Driven Framework for Enhancing Heart Disease Prediction—0
Differentially Private Matrix Completion Revisited—0
An Attribute-Aligned Strategy for Learning Speech Representation—0
Demystifying Swarm Learning: A New Paradigm of Blockchain-based Decentralized Federated Learning—0
Differentially-Private Logistic Regression for Detecting Multiple-SNP Association in GWAS Databases—0
Demystifying Hyperparameter Optimization in Federated Learning—0
Demo: LE3D: A Privacy-preserving Lightweight Data Drift Detection Framework—0
A Unified View of Differentially Private Deep Generative Modeling—0
An Attack to Break Permutation-Based Private Third-Party Inference Schemes for LLMs—0
AdRo-FL: Informed and Secure Client Selection for Federated Learning in the Presence of Adversarial Aggregator—0
A Unified Learn-to-Distort-Data Framework for Privacy-Utility Trade-off in Trustworthy Federated Learning—0
DER Forecast using Privacy Preserving Federated Learning—0
Differentially Private Language Models Benefit from Public Pre-training—0
DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning—0
Differentially Private Learning with Per-Sample Adaptive Clipping—0
Designing DSIC Mechanisms for Data Sharing in the Era of Large Language Models—0
Designing Fairness in Autonomous Peer-to-peer Energy Trading—0
Design of Privacy-Preserving Dynamic Controllers—0
Design of Stochastic Quantizers for Privacy Preservation—0
DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding—0
Detecting Unknown DGAs without Context Information—0
Differentially Private M-Estimators—0
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