SOTAVerified

Privacy Preserving

Papers

Showing 21012150 of 2975 papers

TitleStatusHype
Studying the Robustness of Anti-adversarial Federated Learning Models Detecting Cyberattacks in IoT Spectrum Sensors0
Heterogeneous Federated Learning via Grouped Sequential-to-Parallel Training0
Volley Revolver: A Novel Matrix-Encoding Method for Privacy-Preserving Neural Networks (Inference)Code0
Challenges and approaches to privacy preserving post-click conversion prediction0
An Overview of Compressible and Learnable Image Transformation with Secret Key and Its Applications0
Privacy-Preserving Logistic Regression Training with A Faster Gradient VariantCode0
Pre-Trained Language Transformers are Universal Image Classifiers0
Differentially-Private Heat and Electricity Markets Coordination0
Stochastic Coded Federated Learning with Convergence and Privacy Guarantees0
Towards Private Learning on Decentralized Graphs with Local Differential Privacy0
Caring Without Sharing: A Federated Learning Crowdsensing Framework for Diversifying Representation of Cities0
Privacy-Aware Human Mobility Prediction via Adversarial Networks0
SCOTCH: An Efficient Secure Computation Framework for Secure AggregationCode0
Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization0
A Privacy-Preserving Unsupervised Domain Adaptation Framework for Clinical Text Analysis0
Differentially Private Reinforcement Learning with Linear Function Approximation0
Fairness in Federated Learning for Spatial-Temporal Applications0
FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks0
Demystifying Swarm Learning: A New Paradigm of Blockchain-based Decentralized Federated Learning0
Towards a Data Privacy-Predictive Performance Trade-off0
LoMar: A Local Defense Against Poisoning Attack on Federated Learning0
ADI: Adversarial Dominating Inputs in Vertical Federated Learning Systems0
A Fair and Efficient Hybrid Federated Learning Framework based on XGBoost for Distributed Power Prediction0
Robust Semi-supervised Federated Learning for Images Automatic Recognition in Internet of Drones0
Privacy Preserving Partial Localization0
Exploring Domain-Invariant Parameters for Source Free Domain Adaptation0
GenShare: Sharing Accurate Differentially-Private Statistics for Genomic Datasets with Dependent Tuples0
DP-FP: Differentially Private Forward Propagation for Large Models0
Towards Transactive Energy: An Analysis of Information-related Practical Issues0
MPCLeague: Robust MPC Platform for Privacy-Preserving Machine Learning0
Sparsified Secure Aggregation for Privacy-Preserving Federated Learning0
SoK: Privacy-preserving Deep Learning with Homomorphic Encryption0
FedPOIRec: Privacy Preserving Federated POI Recommendation with Social Influence0
Synthetic Data and Simulators for Recommendation Systems: Current State and Future Directions0
Distributed Machine Learning and the Semblance of Trust0
Privacy-Preserving Nonlinear Cloud-based Model Predictive Control via Affine Masking0
Semi-Decentralized Federated Edge Learning with Data and Device Heterogeneity0
Privacy preserving n-party scalar product protocol0
HyObscure: Hybrid Obscuring for Privacy-Preserving Data Publishing0
One size does not fit all: Investigating strategies for differentially-private learning across NLP tasksCode0
Data Valuation for Vertical Federated Learning: A Model-free and Privacy-preserving Method0
Birds Eye View Social Distancing Analysis System0
How Private Is Your RL Policy? An Inverse RL Based Analysis FrameworkCode0
Federated Two-stage Learning with Sign-based Voting0
Amicable Aid: Perturbing Images to Improve Classification Performance0
Asynchronous Semi-Decentralized Federated Edge Learning for Heterogeneous Clients0
When the Curious Abandon Honesty: Federated Learning Is Not Private0
Differentially Private Exploration in Reinforcement Learning with Linear Representation0
High-Resolution WiFi Imaging with Reconfigurable Intelligent Surfaces0
Parameter-free HE-friendly Logistic Regression0
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