隐私计算与数据要素 · 全部实体（第 5 / 100 页）

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• Quantum Enhanced Federated Learning with Differential Privacy
  crossref Shoaib Ullah, Madam Hussain Shah, Adeel Anjum 2025-01-17T18:32:11Z 置信度 0.70
• On the Extreme Points of the (0, δ) - Differential Privacy Polytope
  crossref Karan Elangovan, Varun Jog 2024-08-19T13:25:01Z 置信度 0.70
• Stabilizing updates in differentially private stochastic gradient descent with buffered rejection.
  europepmc 2026 置信度 0.80
• Differential Privacy Protection Against Membership Inference Attack on Machine Learning for Genomic Data
  preprints 2020 置信度 0.74
• Differential privacy in the 2020 US census: what will it do? Quantifying the accuracy/privacy tradeoff
  preprints 2020 置信度 0.74
• Privacy-Preserving and Robust Watermarking on Sequential Genome Data using Belief Propagation and Local Differential Privacy
  preprints 2020 置信度 0.74
• Privacy-Preserving Information Fusion of Heterogeneous Cross-Jurisdictional Sources for Traffic Accident Severity Prediction
  preprints 2026 置信度 0.74
• DEAR-OWL: a fully browser-based hybrid resource for instant or precise differential gene expression analysis
  preprints 2026 置信度 0.74
• A Human-in-the-Loop Large Language Model System Based on the Model Context Protocol for Differential Diagnosis from Electronic Medical Records and Literature
  preprints 2026 置信度 0.74
• Privacy-Preserving Matching for Federated Causal Inference in Multicentre Patient Cohorts
  preprints 2026 置信度 0.74
• Auditing Explanation Faithfulness in Privacy-Preserving Federated Intrusion Detection
  preprints 2026 置信度 0.74
• From Compliance to Competitive Advantage: Designing a "Privacy-By-Design" Financial AI Governance Framework that Mitigates Bias without Sacrificing Predictive Performance
  preprints 2026 置信度 0.74
• The impact of privacy risk perception on initial trust in autonomous vehicle: Differential responses of professionals and non-professionals
  preprints 2026 置信度 0.74
• Multi-sensor Privacy Data Tampering Prevention Method under Flood Attacks
  preprints 2026 置信度 0.74
• Adversarial Evaluation of a Two-Layer Anonymization Pipeline Against Record-Linkage Attacks
  preprints 2026 置信度 0.74
• Agentic-TimesFM-AKI: A Dual LLM–Time Series Framework for Predicting Drug-Induced Acute Kidney Injury with Privacy-Preserving Synthetic Data
  preprints 2026 置信度 0.74
• Hō‘ike: A Joint-Embedding Predictive Architecture for Transcriptome Data Generation with Diffusion Models
  preprints 2026 置信度 0.74
• ExposOmix-Fed: A Federated, Site-Invariant Protocol for Aligning the Environmental Exposome, Multi-Omics, and Abdominal MRI for Colorectal Cancer Risk Stratification in UK Biobank
  preprints 2026 置信度 0.74
• D-PGAN: A Differentially Private Generative Adversarial Network for Multi-Party Publishing of High-Dimensional Tabular Data
  preprints 2026 置信度 0.74
• Dark Social Inference for Early Detection of Coordinated Misinformation Campaigns
  europepmc 2026 置信度 0.80
• BApplying Deep Personal Privacy (DPP An Empirical Framework for Inference Resistance in Large Language Models
  preprints 2026 置信度 0.74
• (d, c, l)-Privacy : Privacy Preservation Models for Content‑Sensitive Datasets Using Information Retrieval Techniques
  preprints 2026 置信度 0.74
• Attacks and Defenses in Differentially Private Deep Learning: New Security Risks in New Era
  preprints 2026 置信度 0.74
• Emergency Monitoring via Encrypted Reverberation and Graph-based Environmental Detection of Anomalous Kinetic events (EMERGE-DARK)
  preprints 2026 置信度 0.74
• Towards Useful and Private Synthetic Omics: Community Benchmarking of Generative Models for Transcriptomics Data
  preprints 2026 置信度 0.74
• FedEmoNet: Privacy-Preserving FederatedLearning with TCN-Transformer Fusion forCross-Corpus Speech Emotion Recognition
  preprints 2026 置信度 0.74
• A Cross-layer Provenance-Protection Architecture for Repeated Quantum Measurements in the Cloud
  preprints 2026 置信度 0.74
• Differentially Private Lasso: An ISTA Framework with Finite-Iteration Guarantees
  preprints 2026 置信度 0.74
• A Federated and Differentially Private Incentive–Marketing Framework for Privacy-Preserving Cross-Channel Measurement in AI-Powered Digital Commerce
  preprints 2026 置信度 0.74
• Young people’s experiences of self-harm and suicide support through schools and youth organisations: A qualitative study in England
  preprints 2026 置信度 0.74
• Towards Trustworthy Cyber-Physical Futures: Comprehensive Survey of Trust and Security in Digital Twin Systems
  preprints 2026 置信度 0.74
• Secure Data Sharing for Real Estate Valuation Using Blockchain Technology
  preprints 2026 置信度 0.74
• SAP-TrajWGP: A Semantic-Aware Personalized Trajectory Privacy Protection Algorithm Based on WGAN-GP
  preprints 2026 置信度 0.74
• DP-Protected LightGBM Framework for Smart Home Malicious Traffic Detection
  preprints 2026 置信度 0.74
• AtlasLens: Metadata-centric exploration and analysis of single-cell atlases
  preprints 2026 置信度 0.74
• Analyzing Model Extraction Vulnerabilities in Commercial Security AI Services
  preprints 2026 置信度 0.74
• A Values-Driven Data Protection Framework for AI Adoption in Emerging Economies
  preprints 2026 置信度 0.74
• TrustDS: A Policy-First, Privacy-Preserving Framework for Interoperable Marketplace Data Exchange Across Edge and Multi-Cloud Environments 
  preprints 2026 置信度 0.74
• Telehealth- Integrated Smart Tourism Platforms Addressing Urban Care Gaps Through Real Time Health Monitoring for Active Aging Seniors
  preprints 2026 置信度 0.74
• AI Driven Cybersecure Biochemistry Education: A Global Framework for Intelligent, Resilient, and Data Secure Life Science Learning Ecosystems
  Abstract The digitization of life science education has created an urgent but unaddressed problem. Biochemistry training increasingly relies on intelligent tutoring systems, virtual laboratories, and learning analytics platforms. These technologies generate an…
  europepmc 2026 置信度 0.80
• A Novel Multi-Stage Fusion Pipeline for Robust and Interpretable Melanoma Classification Using Physics-Informed and Vision-Language Models
  preprints 2026 置信度 0.74
• A False Sense of Privacy: Evaluating the Limitsof Textual Data Sanitization for Privacy Protection
  preprints 2025 置信度 0.74
• Medical Image Encryption Using DNA Computing and a Bio-Inspired PRNG for Healthcare Data Privacy
  Abstract As digital healthcare systems increasingly rely on electronic medical records, secure and high-quality encryption mechanisms are essential to prevent unauthorized access and cyber threats. This study proposes a novel Hardy–Weinberg equilibrium-inspire…
  preprints 2026 置信度 0.74
• Personal Intelligence: Toward a User-Governed Preference Substrate for the Age of Agentic AI
  preprints 2026 置信度 0.74
• UWSDF-UIoT: Underwater Acoustic Context-Aware Deep Fusion Framework for Secure Data Transmission in Underwater IoT Networks
  preprints 2026 置信度 0.74
• Autoencoder-Enhanced Hierarchical Mondrian Anonymization via Latent Representations
  preprints 2026 置信度 0.74
• Differentially Private Bagging Ensemble with Adaptive Privacy Budgeting for Credit Card Fraud Detection
  preprints 2025 置信度 0.74
• Wavelet-Domain Privacy SGD (WDP-SGD): FrequencySelective Privacy-Preserving Medical AI.
  preprints 2025 置信度 0.74
• A Domain-Driven, Physics-Backed, Proximity-Informed AI Model for PVT Predictions—Part II: Differential Liberation Expansion and Viscosity Tests
  preprints 2026 置信度 0.74
• SkinGuardian: On-Device AI for Private, Fair, Robust, and Explainable Skin Cancer Detection
  preprints 2026 置信度 0.74
• SkinGuardian: On-Device AI for Private, Fair, Robust, and Explainable Skin Cancer Detection
  preprints 2026 置信度 0.74
• GlioVision: A Multi-Modal MRI Framework for Non-Invasive Glioma Molecular Biomarkers Prediction
  preprints 2026 置信度 0.74
• Walking as a Window to the Brain: Redefining Gait in Neurology
  preprints 2026 置信度 0.74
• Research on Personalized Location Trajectory Privacy Protection Strategy Based on Mutual Information
  preprints 2025 置信度 0.74
• PALSYN: A Method for Synthetic Multi-Perspective Event Log Generation with Differential Private Guarantees
  preprints 2025 置信度 0.74
• A Survey on Peer-to-Peer Network Testing Techniques
  preprints 2026 置信度 0.74
• Privacy-Aware Federated nnU-Net for ECG Page Digitization
  preprints 2025 置信度 0.74
• A Novel FedLLM Intrusion Detection Frameworkfor Privacy-Preserving Security in IoT EnabledSmart City Network
  preprints 2025 置信度 0.74
• A FAIR/FHIR aligned, reproducible multi omics and epidemiology framework for privacy preserving clinical research
  preprints 2025 置信度 0.74
• CDLAKS: Chaotic DNA-Based Lightweight Authenticated Key-Dependent Steganographic Framework for Secure Transmission of Medical Images in Iot Environments
  preprints 2026 置信度 0.74
• TrustDS: A Policy‑First, Privacy‑Preserving Framework for Interoperable Data Exchange with Real‑World Validation
  preprints 2025 置信度 0.74
• Federated Fine‐Tuning of Large Language Models with Privacy Preservation and Cross‐Domain Semantic Alignment
  preprints 2025 置信度 0.74
• An Efficient and Effective Model for Preserving Sensitive Data in Location-Based Graphs Using Data Generalization and Data Suppression in Conjunction with Data Sliding Windows and R-Trees
  preprints 2025 置信度 0.74
• Investigating the fundamental characteristics of retinal age models
  Abstract Retinal age is a biological ageing marker estimated from retinal images. Its deviation from chronological age, termed the retinal age gap (RAG), has been associated with adverse health outcomes. However, fundamental characteristics of retinal age mode…
  preprints 2026 置信度 0.74
• h5adify: neuro-symbolic metadata harmonization enables scalable AnnData integration with local large language models
  preprints 2026 置信度 0.74
• Public perceptions of spatial computing in health: Opportunities and barriers for supporting self-care and wellbeing
  preprints 2026 置信度 0.74
• PrivacyPreserveNet: A Multilevel Privacy-Preserving Framework for Multimodal LLMs via Gradient Clipping and Attention Noise
  preprints 2025 置信度 0.74
• An Efficient Differentially-Private Weighted Support Vector Machine Algorithm with Noisy Gradient Descent
  preprints 2025 置信度 0.74
• PALSYN: A Method for Synthetic Multi-Perspective Event Log Generation with Differential Private Guarantees
  preprints 2025 置信度 0.74
• Design and Evaluation of a Context-Aware Multimodal Recommendation and QA System with Retrieval-Augmented Generation
  preprints 2025 置信度 0.74
• Social contact patterns across levels of deprivation in England, and implications for infectious disease transmission
  preprints 2026 置信度 0.74
• Using face averages to measure differential accuracy for demographic groups in facial recognition
  preprints 2025 置信度 0.74
• Defogger: A Visual Analysis Approach for Data Exploration of Sensitive Data Protected by Differential Privacy.
  europepmc 2024 置信度 0.80
• Assessing the Impact of Federated Learning and Differential Privacy on Multi-centre Polyp Segmentation.
  europepmc 2024 置信度 0.80
• DPAR: Decoupled Graph Neural Networks with Node-Level Differential Privacy.
  europepmc 2024 置信度 0.80
• Uldp-FL: Federated Learning with Across-Silo User-Level Differential Privacy.
  europepmc 2024 置信度 0.80
• Balancing Between Privacy and Utility for Affect Recognition Using Multitask Learning in Differential Privacy-Added Federated Learning Settings: Quantitative Study.
  europepmc 2024 置信度 0.80
• A Two-Stage Differential Privacy Scheme for Federated Learning Based on Edge Intelligence.
  europepmc 2024 置信度 0.80
• A Critical Study of Composition Algorithms in Differential Privacy
  europepmc 2023 置信度 0.80
• Multi-Stage Asynchronous Federated Learning With Adaptive Differential Privacy.
  europepmc 2024 置信度 0.80
• A clustering-based differential privacy protection algorithm for weighted social networks.
  europepmc 2024 置信度 0.80
• Differential privacy in collaborative filtering recommender systems: a review.
  europepmc 2023 置信度 0.80
• Differential Privacy Preservation for Continuous Release of Real-Time Location Data.
  europepmc 2024 置信度 0.80
• The privacy-explainability trade-off: unraveling the impacts of differential privacy and federated learning on attribution methods.
  europepmc 2024 置信度 0.80
• Evaluation of Open-Source Tools for Differential Privacy.
  europepmc 2023 置信度 0.80
• Research on differential privacy protection method based on user tendency.
  europepmc 2023 置信度 0.80
• On the Convergence and Calibration of Deep Learning with Differential Privacy.
  europepmc 2023 置信度 0.80
• Sparsified federated learning with differential privacy for intrusion detection in VANETs based on Fisher Information Matrix.
  europepmc 2024 置信度 0.80
• Augmented Differential Privacy Framework for Data Analytics
  europepmc 2023 置信度 0.80
• Robust Fingerprint of Location Trajectories Under Differential Privacy.
  europepmc 2023 置信度 0.80
• Differential Privacy Preservation for Location Semantics.
  europepmc 2023 置信度 0.80
• A standardised differential privacy framework for epidemiological modeling with mobile phone data.
  europepmc 2023 置信度 0.80
• Corrigendum: Efficient differential privacy enabled federated learning model for detecting COVID-19 disease using chest X-ray images.
  europepmc 2024 置信度 0.80
• Differential Privacy based Cloud- Data Security Model (DP-DSM) with Deep Learning in Cloud
  europepmc 2024 置信度 0.80
• DP-SSLoRA: A privacy-preserving medical classification model combining differential privacy with self-supervised low-rank adaptation.
  europepmc 2024 置信度 0.80
• A data-driven approach to choosing privacy parameters for clinical trial data sharing under differential privacy.
  europepmc 2024 置信度 0.80
• Differential Privacy Protections in 2020 U.S. Decennial Census Data Do Not Impede Measurement of Racial and Ethnic Disparities.
  europepmc 2024 置信度 0.80
• Privacy, Please: Safeguarding Medical Data in Imaging AI Using Differential Privacy Techniques.
  europepmc Abhinav Suri, Ronald M. Summers 2024 置信度 0.80
• Application of Blockchain Technology & Integration of Differential Privacy: Issues in E-Health Domains
  europepmc 2023 置信度 0.80
• Mitigating Membership Inference in Deep Survival Analyses with Differential Privacy.
  europepmc 2023 置信度 0.80