SOTAVerified

Privacy Preserving

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1451–1475 of 2975 papers

TitleStatusHype
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
3DoF Localization from a Single Image and an Object Map: the Flatlandia Problem and DatasetCode1
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
Reinforcement Learning-Based Black-Box Model Inversion AttacksCode1
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 Decentralized Energy Management for Networked Microgrids via Objective-Based ADMM—0
Privacy-Preserving CNN Training with Transfer Learning: Multiclass Logistic RegressionCode0
Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures—0
FedBot: Enhancing Privacy in Chatbots with Federated Learning—0
Decentralized and Privacy-Preserving Learning of Approximate Stackelberg Solutions in Energy Trading Games with Demand Response Aggregators—0
Selective Knowledge Sharing for Privacy-Preserving Federated Distillation without A Good TeacherCode1
A Survey on Vertical Federated Learning: From a Layered Perspective—0
On Mitigating the Utility-Loss in Differentially Private Learning: A new Perspective by a Geometrically Inspired Kernel Approach—0
Coincidental Generation—0
The Archive Query Log: Mining Millions of Search Result Pages of Hundreds of Search Engines from 25 Years of Web ArchivesCode1
Show:102550
← PrevPage 59 of 119Next →

No leaderboard results yet.