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Privacy Preserving

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Showing 1601–1650 of 2975 papers

TitleStatusHype
Gradient Leakage Defense with Key-Lock Module for Federated LearningCode0
Efficient Federated Learning with Enhanced Privacy via Lottery Ticket Pruning in Edge Computing—0
Privacy-Preserving In-Context Learning for Large Language Models—0
A Paradigm Shift: The Future of Machine Translation Lies with Large Language Models—0
Training Large Scale Polynomial CNNs for E2E Inference over Homomorphic Encryption—0
Bayesian Federated Learning: A Survey—0
FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models—0
(Local) Differential Privacy has NO Disparate Impact on FairnessCode0
User-Centric Federated Learning: Trading off Wireless Resources for Personalization—0
Differentially Private Synthetic Data Generation via Lipschitz-Regularised Variational Autoencoders—0
Auditing and Generating Synthetic Data with Controllable Trust Trade-offs—0
Secure Split Learning against Property Inference, Data Reconstruction, and Feature Space Hijacking Attacks—0
A Randomized Approach for Tight Privacy Accounting—0
Practical Differentially Private and Byzantine-resilient Federated LearningCode0
Federated and distributed learning applications for electronic health records and structured medical data: A scoping review—0
Efficient Deep Learning Models for Privacy-preserving People Counting on Low-resolution Infrared Arrays—0
Privacy-Preserving Matrix Factorization for Recommendation Systems using Gaussian Mechanism—0
A Game-theoretic Framework for Privacy-preserving Federated Learning—0
Analysing Fairness of Privacy-Utility Mobility Models—0
Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation—0
FedDiSC: A Computation-efficient Federated Learning Framework for Power Systems Disturbance and Cyber Attack Discrimination—0
Privacy-Preserving CNN Training with Transfer Learning: Multiclass Logistic RegressionCode0
Privacy-Preserving Decentralized Energy Management for Networked Microgrids via Objective-Based ADMM—0
Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures—0
FedBot: Enhancing Privacy in Chatbots with Federated Learning—0
A Survey on Vertical Federated Learning: From a Layered Perspective—0
Decentralized and Privacy-Preserving Learning of Approximate Stackelberg Solutions in Energy Trading Games with Demand Response Aggregators—0
Coincidental Generation—0
On Mitigating the Utility-Loss in Differentially Private Learning: A new Perspective by a Geometrically Inspired Kernel Approach—0
The Need for Inherently Privacy-Preserving Vision in Trustworthy Autonomous Systems—0
A Comparative Study of Federated Learning Models for COVID-19 Detection—0
From Private to Public: Benchmarking GANs in the Context of Private Time Series Classification—0
FeDiSa: A Semi-asynchronous Federated Learning Framework for Power System Fault and Cyberattack Discrimination—0
Privacy-preserving machine learning for healthcare: open challenges and future perspectives—0
Personalized Federated Learning on Long-Tailed Data via Adversarial Feature AugmentationCode0
Federated Learning for Metaverse: A Survey—0
When Evolutionary Computation Meets Privacy—0
Poisoning Attacks in Federated Edge Learning for Digital Twin 6G-enabled IoTs: An Anticipatory Study—0
DeepMA: End-to-end Deep Multiple Access for Wireless Image Transmission in Semantic Communication—0
Differentially Private Algorithms for Synthetic Power System DatasetsCode0
Experimenting with Normalization Layers in Federated Learning on non-IID scenariosCode0
Modeling the Trade-off of Privacy Preservation and Activity Recognition on Low-Resolution Images—0
The Challenge of Differentially Private Screening Rules—0
Privacy-preserving Pedestrian Tracking using Distributed 3D LiDARs—0
MassNet: A Deep Learning Approach for Body Weight Extraction from A Single Pressure ImageCode0
Fairness-aware Differentially Private Collaborative Filtering—0
Optimization Design for Federated Learning in Heterogeneous 6G Networks—0
BCGS: Blockchain-assisted privacy-preserving cross-domain authentication for VANETs—0
Schrödinger's Camera: First Steps Towards a Quantum-Based Privacy Preserving CameraCode0
Cross-device Federated Learning for Mobile Health Diagnostics: A First Study on COVID-19 Detection—0
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