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Privacy Preserving

Papers

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Showing 2001–2050 of 2975 papers

TitleStatusHype
How to keep text private? A systematic review of deep learning methods for privacy-preserving natural language processing—0
Providing Location Information at Edge Networks: A Federated Learning-Based Approach—0
Privacy Preserving Image RegistrationCode0
IR-ORAM: Path Access Type Based Memory Intensity Reduction for Path-ORAM—0
On the (In)security of Peer-to-Peer Decentralized Machine LearningCode0
Collaborative Drug Discovery: Inference-level Data Protection Perspective—0
Privacy-Preserving Distributed Machine Learning Made Faster—0
eFedDNN: Ensemble based Federated Deep Neural Networks for Trajectory Mode Inference—0
ConfLab: A Data Collection Concept, Dataset, and Benchmark for Machine Analysis of Free-Standing Social Interactions in the WildCode0
Bayesian Prior Learning via Neural Networks for Next-item Recommendation—0
FedSPLIT: One-Shot Federated Recommendation System Based on Non-negative Joint Matrix Factorization and Knowledge Distillation—0
Performance Weighting for Robust Federated Learning Against Corrupted Sources—0
A New Dimensionality Reduction Method Based on Hensel's Compression for Privacy Protection in Federated Learning—0
Intrinsic Gradient Compression for Scalable and Efficient Federated Learning—0
PP-MARL: Efficient Privacy-Preserving Multi-Agent Reinforcement Learning for Cooperative Intelligence in Communications—0
Time-triggered Federated Learning over Wireless Networks—0
Secure Distributed/Federated Learning: Prediction-Privacy Trade-Off for Multi-Agent System—0
Source-Free Domain Adaptation via Distribution EstimationCode0
Energy-efficient and Privacy-aware Social Distance Monitoring with Low-resolution Infrared Sensors and Adaptive Inference—0
Privacy-preserving Social Distance Monitoring on Microcontrollers with Low-Resolution Infrared Sensors and CNNs—0
Towards Privacy-Preserving Neural Architecture Search—0
FedCL: Federated Contrastive Learning for Privacy-Preserving Recommendation—0
You Are What You Write: Preserving Privacy in the Era of Large Language Models—0
Invertible Mask Network for Face Privacy-Preserving—0
PrivateRec: Differentially Private Training and Serving for Federated News Recommendation—0
Privacy-Preserving Image Classification Using Isotropic Network—0
Homomorphic Encryption and Federated Learning based Privacy-Preserving CNN Training: COVID-19 Detection Use-Case—0
Automated speech tools for helping communities process restricted-access corpora for language revival efforts—0
Scalable privacy-preserving cancer type prediction with homomorphic encryption—0
SF-PATE: Scalable, Fair, and Private Aggregation of Teacher Ensembles—0
SoK: Privacy Preserving Machine Learning using Functional Encryption: Opportunities and Challenges—0
EfficientFi: Towards Large-Scale Lightweight WiFi Sensing via CSI Compression—0
Privacy-Preserving Federated Learning via System Immersion and Random Matrix Encryption—0
Studying the Impact of Data Disclosure Mechanism in Recommender Systems via Simulation—0
Accelerating Federated Edge Learning via Topology Optimization—0
Wi-Fi and Bluetooth Contact Tracing Without User Intervention—0
Designing a Transactive Electric Vehicle Agent with Customer's Participation Preference—0
Decentralized Collaborative Learning Framework for Next POI Recommendation—0
Towards Everyday Virtual Reality through Eye Tracking—0
A Speech Representation Anonymization Framework via Selective Noise PerturbationCode0
Addressing Client Drift in Federated Continual Learning with Adaptive Optimization—0
SwiftAgg+: Achieving Asymptotically Optimal Communication Loads in Secure Aggregation for Federated Learning—0
Mobile Wireless Rechargeable UAV Networks: Challenges and Solutions—0
Privacy-Preserving Personalized Fitness Recommender System (P3FitRec): A Multi-level Deep Learning ApproachCode0
SPRITE: A Scalable Privacy-Preserving and Verifiable Collaborative Learning for Industrial IoT—0
Federated Learning Approach for Lifetime Prediction of Semiconductor Lasers—0
Privacy-Preserving Reinforcement Learning Beyond Expectation—0
Privacy-preserving Online AutoML for Domain-Specific Face Detection—0
Generating Privacy-Preserving Process Data with Deep Generative Models—0
Securing the Classification of COVID-19 in Chest X-ray Images: A Privacy-Preserving Deep Learning Approach—0
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