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Privacy Preserving

Papers

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Showing 2501–2550 of 2975 papers

TitleStatusHype
Privacy Risk for anisotropic Langevin dynamics using relative entropy bounds—0
Privacy Risks and Preservation Methods in Explainable Artificial Intelligence: A Scoping Review—0
Privacy Risks of Robot Vision: A User Study on Image Modalities and Resolution—0
PrivacyScalpel: Enhancing LLM Privacy via Interpretable Feature Intervention with Sparse Autoencoders—0
Privacy Threats Against Federated Matrix Factorization—0
Privacy Threats and Countermeasures in Federated Learning for Internet of Things: A Systematic Review—0
Privacy Tradeoffs in Predictive Analytics—0
The Normal Distributions Indistinguishability Spectrum and its Application to Privacy-Preserving Machine Learning—0
Private Ad Modeling with DP-SGD—0
Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning—0
Private, Augmentation-Robust and Task-Agnostic Data Valuation Approach for Data Marketplace—0
Privacy-Preserving Causal Inference via Inverse Probability Weighting—0
Private Deep Learning with Teacher Ensembles—0
PrivATE: Differentially Private Confidence Intervals for Average Treatment Effects—0
Private, Efficient and Scalable Kernel Learning for Medical Image Analysis—0
Private Facial Diagnosis as an Edge Service for Parkinson's DBS Treatment Valuation—0
Private False Discovery Rate Control—0
Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption—0
Private Fine-tuning of Large Language Models with Zeroth-order Optimization—0
Private Image Generation With Dual-Purpose Auxiliary Classifier—0
Federated Learning with Reduced Information Leakage and ComputationCode0
Recoverable Privacy-Preserving Image Classification through Noise-like Adversarial ExamplesCode0
Long-term Conversation Analysis: Exploring Utility and PrivacyCode0
Federated Motor Imagery Classification for Privacy-Preserving Brain-Computer InterfacesCode0
Cross-Network Social User Embedding with Hybrid Differential Privacy GuaranteesCode0
CECILIA: Comprehensive Secure Machine Learning FrameworkCode0
Analyze Gauss: Optimal Bounds for Privacy-Preserving Principal Component AnalysisCode0
Aura: Privacy-preserving Augmentation to Improve Test Set Diversity in Speech EnhancementCode0
Federated Learning for Time-Series Healthcare Sensing with Incomplete ModalitiesCode0
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and ProtectionCode0
Towards Efficient Synchronous Federated Training: A Survey on System Optimization StrategiesCode0
Differential Privacy at Risk: Bridging Randomness and Privacy BudgetCode0
Federated Causal Inference from Observational DataCode0
Validating Privacy-Preserving Face Recognition under a Minimum AssumptionCode0
FedPCL-CDR: A Federated Prototype-based Contrastive Learning Framework for Privacy-Preserving Cross-domain RecommendationCode0
Privacy Preserving Federated Unsupervised Domain Adaptation with Application to Age Prediction from DNA Methylation DataCode0
Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data SourcesCode0
Low Latency Privacy Preserving InferenceCode0
Λ-Split: A Privacy-Preserving Split Computing Framework for Cloud-Powered Generative AICode0
LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device CollaborationCode0
Differentially Private Sliced Wasserstein DistanceCode0
Collaborative Training of Medical Artificial Intelligence Models with non-uniform LabelsCode0
COVID-19 and Your Smartphone: BLE-based Smart Contact TracingCode0
Federated Semantic Learning for Privacy-preserving Cross-domain RecommendationCode0
Amalgam: A Framework for Obfuscated Neural Network Training on the CloudCode0
Federated Spectral Graph Transformers Meet Neural Ordinary Differential Equations for Non-IID GraphsCode0
Federated Split GANsCode0
Federated Stain Normalization for Computational PathologyCode0
Regularized PolyKervNets: Optimizing Expressiveness and Efficiency for Private Inference in Deep Neural NetworksCode0
A Universal Metric of Dataset Similarity for Cross-silo Federated LearningCode0
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