SOTAVerified

Privacy Preserving

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2001–2050 of 2975 papers

TitleStatusHype
Locally Differentially Private Distributed Deep Learning via Knowledge DistillationCode0
ABG: A Multi-Party Mixed Protocol Framework for Privacy-Preserving Cooperative Learning—0
Energy-Aware Edge Association for Cluster-based Personalized Federated Learning—0
Efficient Privacy Preserving Logistic Regression for Horizontally Distributed Data—0
Linear Model Against Malicious Adversaries with Local Differential Privacy—0
Training Differentially Private Models with Secure Multiparty Computation—0
PrivPAS: A real time Privacy-Preserving AI System and applied ethics—0
Privacy-preserving Speech Emotion Recognition through Semi-Supervised Federated LearningCode1
Privacy-Aware Crowd Labelling for Machine Learning Tasks—0
Comparative assessment of federated and centralized machine learning—0
Improved Regret for Differentially Private Exploration in Linear MDP—0
Gromov-Wasserstein Discrepancy with Local Differential Privacy for Distributed Structural Graphs—0
A Privacy-Preserving Image Retrieval Scheme with a Mixture of Plain and EtC Images—0
Studying the Robustness of Anti-adversarial Federated Learning Models Detecting Cyberattacks in IoT Spectrum Sensors—0
Heterogeneous Federated Learning via Grouped Sequential-to-Parallel Training—0
Lessons from the AdKDD'21 Privacy-Preserving ML Challenge—0
Challenges and approaches to privacy preserving post-click conversion prediction—0
Volley Revolver: A Novel Matrix-Encoding Method for Privacy-Preserving Neural Networks (Inference)Code0
Domain-Invariant Representation Learning from EEG with Private EncodersCode1
Privacy-Preserving Logistic Regression Training with A Faster Gradient VariantCode0
An Overview of Compressible and Learnable Image Transformation with Secret Key and Its Applications—0
Differentially-Private Heat and Electricity Markets Coordination—0
Pre-Trained Language Transformers are Universal Image Classifiers—0
Stochastic Coded Federated Learning with Convergence and Privacy Guarantees—0
Towards Private Learning on Decentralized Graphs with Local Differential Privacy—0
pvCNN: Privacy-Preserving and Verifiable Convolutional Neural Network TestingCode1
Caring Without Sharing: A Federated Learning Crowdsensing Framework for Diversifying Representation of Cities—0
SCOTCH: An Efficient Secure Computation Framework for Secure AggregationCode0
Privacy-Aware Human Mobility Prediction via Adversarial Networks—0
Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization—0
A Privacy-Preserving Unsupervised Domain Adaptation Framework for Clinical Text Analysis—0
Differentially Private Reinforcement Learning with Linear Function Approximation—0
Fairness in Federated Learning for Spatial-Temporal Applications—0
FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks—0
Demystifying Swarm Learning: A New Paradigm of Blockchain-based Decentralized Federated Learning—0
Towards a Data Privacy-Predictive Performance Trade-off—0
LoMar: A Local Defense Against Poisoning Attack on Federated Learning—0
ADI: Adversarial Dominating Inputs in Vertical Federated Learning Systems—0
A Fair and Efficient Hybrid Federated Learning Framework based on XGBoost for Distributed Power Prediction—0
Robust Semi-supervised Federated Learning for Images Automatic Recognition in Internet of Drones—0
Exploring Domain-Invariant Parameters for Source Free Domain Adaptation—0
Privacy Preserving Partial Localization—0
GenShare: Sharing Accurate Differentially-Private Statistics for Genomic Datasets with Dependent Tuples—0
DP-FP: Differentially Private Forward Propagation for Large Models—0
Towards Transactive Energy: An Analysis of Information-related Practical Issues—0
MPCLeague: Robust MPC Platform for Privacy-Preserving Machine Learning—0
SoK: Privacy-preserving Deep Learning with Homomorphic Encryption—0
Sparsified Secure Aggregation for Privacy-Preserving Federated Learning—0
Synthetic Data and Simulators for Recommendation Systems: Current State and Future Directions—0
Distributed Machine Learning and the Semblance of Trust—0
Show:102550
← PrevPage 41 of 60Next →

No leaderboard results yet.