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Privacy Preserving

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Showing 601–650 of 2975 papers

TitleStatusHype
Advancing Explainable Autonomous Vehicle Systems: A Comprehensive Review and Research Roadmap—0
B^2SFL: A Bi-level Blockchained Architecture for Secure Federated Learning-based Traffic Prediction—0
A Wireless-Vision Dataset for Privacy Preserving Human Activity Recognition—0
An Enhanced Privacy-preserving Federated Few-shot Learning Framework for Respiratory Disease Diagnosis—0
Differentially Private Over-the-Air Federated Learning Over MIMO Fading Channels—0
Avoiding Occupancy Detection from Smart Meter using Adversarial Machine Learning—0
A Vertical Federated Learning Framework for Graph Convolutional Network—0
An Encryption Method of ConvMixer Models without Performance Degradation—0
An Empirical Study of Federated Prompt Learning for Vision Language Model—0
A Comparative Study of Federated Learning Models for COVID-19 Detection—0
Differentially Private Pre-Trained Model Fusion using Decentralized Federated Graph Matching—0
AutoPrivacy: Automated Layer-wise Parameter Selection for Secure Neural Network Inference—0
Autonomous Radiotherapy Treatment Planning Using DOLA: A Privacy-Preserving, LLM-Based Optimization Agent—0
An Empirical Study of Efficiency and Privacy of Federated Learning Algorithms—0
An Efficient Privacy-Preserving Multi-Keyword Query Scheme in Location Based Services—0
Automated speech tools for helping communities process restricted-access corpora for language revival efforts—0
Advances in Robust Federated Learning: Heterogeneity Considerations—0
Achieving Transparency in Distributed Machine Learning with Explainable Data Collaboration—0
Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of Large Language Models—0
Designing a Transactive Electric Vehicle Agent with Customer's Participation Preference—0
An Efficient DP-SGD Mechanism for Large Scale NLP Models—0
Design and Implementation of a Scalable Clinical Data Warehouse for Resource-Constrained Healthcare Systems—0
Deploying Privacy Guardrails for LLMs: A Comparative Analysis of Real-World Applications—0
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation—0
Advancements in Federated Learning: Models, Methods, and Privacy—0
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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