SOTAVerified

Privacy Preserving

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2151–2200 of 2975 papers

TitleStatusHype
Distributed Optimal Allocation with Quantized Communication and Privacy-Preserving Guarantees—0
Secure Multi-Party Computation based Privacy Preserving Data Analysis in Healthcare IoT Systems—0
Fairness-Driven Private Collaborative Machine Learning—0
Towards Communication-Efficient and Privacy-Preserving Federated Representation Learning—0
Privacy-Preserving Stealthy Attack Detection in Multi-Agent Control Systems—0
Federated Deep Learning with Bayesian Privacy—0
AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization—0
MixNN: Protection of Federated Learning Against Inference Attacks by Mixing Neural Network Layers—0
SGDE: Secure Generative Data Exchange for Cross-Silo Federated Learning—0
Morse-STF: Improved Protocols for Privacy-Preserving Machine Learning—0
Physical Layer Anonymous Precoding: The Path to Privacy-Preserving Communications—0
Releasing Graph Neural Networks with Differential Privacy GuaranteesCode0
Achieving Model Fairness in Vertical Federated LearningCode0
A Fairness Analysis on Private Aggregation of Teacher Ensembles—0
SaCoFa: Semantics-aware Control-flow Anonymization for Process MiningCode0
Reinforcement Learning on Encrypted Data—0
AMI-FML: A Privacy-Preserving Federated Machine Learning Framework for AMI—0
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News RecommendationCode1
Federated Ensemble Model-based Reinforcement Learning in Edge Computing—0
Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving—0
Towards Efficient Synchronous Federated Training: A Survey on System Optimization StrategiesCode0
A Privacy-Preserving Image Retrieval Scheme Using A Codebook Generated From Independent Plain-Image Dataset—0
FLASHE: Additively Symmetric Homomorphic Encryption for Cross-Silo Federated LearningCode1
Robust Privacy-Preserving Motion Detection and Object Tracking in Encrypted Streaming Video—0
Selective Differential Privacy for Language ModelingCode1
Privacy-preserving Machine Learning for Medical Image Classification—0
CAPE: Context-Aware Private Embeddings for Private Language LearningCode0
Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating roomCode0
PIVODL: Privacy-preserving vertical federated learning over distributed labels—0
Mitigating Statistical Bias within Differentially Private Synthetic Data—0
Federated Learning for Privacy-Preserving Open Innovation Future on Digital Health—0
Spatio-Temporal Split Learning for Privacy-Preserving Medical Platforms: Case Studies with COVID-19 CT, X-Ray, and Cholesterol Data—0
Learning Federated Representations and Recommendations with Limited Negatives—0
Fed-TGAN: Federated Learning Framework for Synthesizing Tabular DataCode1
Towards Secure and Practical Machine Learning via Secret Sharing and Random PermutationCode0
Aegis: A Trusted, Automatic and Accurate Verification Framework for Vertical Federated Learning—0
Blockchain-based Trustworthy Federated Learning Architecture—0
LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis—0
Effective and Privacy preserving Tabular Data Synthesizing—0
FedMatch: Federated Learning Over Heterogeneous Question Answering DataCode1
Privacy-Preserving Machine Learning: Methods, Challenges and Directions—0
FederatedNILM: A Distributed and Privacy-preserving Framework for Non-intrusive Load Monitoring based on Federated Deep Learning—0
Secure and Privacy-Preserving Federated Learning via Co-Utility—0
Anonymisation Models for Text Data: State of the art, Challenges and Future DirectionsCode0
Decentralized Deep Learning for Multi-Access Edge Computing: A Survey on Communication Efficiency and Trustworthiness—0
Secure Bayesian Federated Analytics for Privacy-Preserving Trend Detection—0
Feature Fusion Methods for Indexing and Retrieval of Biometric Data: Application to Face Recognition with Privacy Protection—0
Fully Homomorphically Encrypted Deep Learning as a ServiceCode1
Sisyphus: A Cautionary Tale of Using Low-Degree Polynomial Activations in Privacy-Preserving Deep LearningCode0
Accelerating Federated Edge Learning via Optimized Probabilistic Device Scheduling—0
Show:102550
← PrevPage 44 of 60Next →

No leaderboard results yet.