SOTAVerified

Privacy Preserving

Papers

Showing 27512800 of 2975 papers

TitleStatusHype
Robustness, Privacy, and Generalization of Adversarial TrainingCode0
Towards the efficacy of federated prediction for epidemics on networksCode0
Differentially Private Distributed InferenceCode0
Privacy-Preserving Multiple Tensor Factorization for Synthesizing Large-Scale Location Traces with Cluster-Specific FeaturesCode0
Position: On-Premises LLM Deployment Demands a Middle Path: Preserving Privacy Without Sacrificing Model ConfidentialityCode0
GuardML: Efficient Privacy-Preserving Machine Learning Services Through Hybrid Homomorphic EncryptionCode0
Decentralized Multi-Target Cross-Domain Recommendation for Multi-Organization CollaborationsCode0
Differentially Private Algorithms for Synthetic Power System DatasetsCode0
Handling Data Heterogeneity in Federated Learning via Knowledge Distillation and FusionCode0
Towards Fair and Privacy-Preserving Federated Deep ModelsCode0
Privacy-Preserved Neural Graph DatabasesCode0
Enhanced Outsourced and Secure Inference for Tall Sparse Decision TreesCode0
Upper-Body Pose-based Gaze Estimation for Privacy-Preserving 3D Gaze Target DetectionCode0
Privacy-preserving Neural Representations of TextCode0
Not all noise is accounted equally: How differentially private learning benefits from large sampling ratesCode0
CrowdGuard: Federated Backdoor Detection in Federated LearningCode0
Privacy-Preserving Classification with Secret Vector MachinesCode0
Privacy-preserving Non-negative Matrix Factorization with OutliersCode0
Empowering Data Mesh with Federated LearningCode0
Differentially Private Adaptation of Diffusion Models via Noisy Aggregated EmbeddingsCode0
Obfuscation Based Privacy Preserving Representations are Recoverable Using Neighborhood InformationCode0
Obfuscation for Privacy-preserving Syntactic ParsingCode0
Empathy Detection from Text, Audiovisual, Audio or Physiological Signals: A Systematic Review of Task Formulations and Machine Learning MethodsCode0
Privacy-Preserving Clustering: A New ApproachBased on Invariant Order EncryptionCode0
The FeatureCloud AI Store for Federated Learning in Biomedicine and BeyondCode0
Privacy-Preserving CNN Training with Transfer Learning: Multiclass Logistic RegressionCode0
UFGraphFR: An attempt at a federated recommendation system based on user text characteristicsCode0
Efficient and Privacy-Preserved Link Prediction via Condensed GraphsCode0
Privacy-Preserving Object Detection & Localization Using Distributed Machine Learning: A Case Study of Infant Eyeblink ConditioningCode0
HFedMS: Heterogeneous Federated Learning with Memorable Data Semantics in Industrial MetaverseCode0
Differentially Private Active Learning: Balancing Effective Data Selection and PrivacyCode0
Developing Federated Time-to-Event Scores Using Heterogeneous Real-World Survival DataCode0
HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for ElectroencephalographyCode0
Hide Your Model: A Parameter Transmission-free Federated Recommender SystemCode0
Hierarchical fuzzy neural networks with privacy preservation for heterogeneous big dataCode0
Congruent Learning for Self-Regulated Federated Learning in 6GCode0
High Performance Logistic Regression for Privacy-Preserving Genome AnalysisCode0
PrivEdge: From Local to Distributed Private Training and PredictionCode0
Memorization of Named Entities in Fine-tuned BERT ModelsCode0
PrivFair: a Library for Privacy-Preserving Fairness AuditingCode0
Wide-AdGraph: Detecting Ad Trackers with a Wide Dependency Chain GraphCode0
ConfLab: A Data Collection Concept, Dataset, and Benchmark for Machine Analysis of Free-Standing Social Interactions in the WildCode0
SensitiveNets: Learning Agnostic Representations with Application to Face ImagesCode0
Homogeneous Learning: Self-Attention Decentralized Deep LearningCode0
A Framework for Evaluating Privacy-Utility Trade-off in Vertical Federated LearningCode0
One size does not fit all: Investigating strategies for differentially-private learning across NLP tasksCode0
Privacy-Preserving Conformal Prediction Under Local Differential PrivacyCode0
Use of Air Quality Sensor Network Data for Real-time Pollution-Aware POI SuggestionCode0
VertiBayes: Learning Bayesian network parameters from vertically partitioned data with missing valuesCode0
On Lightweight Privacy-Preserving Collaborative Learning for Internet of Things by Independent Random ProjectionsCode0
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