隐私计算与数据要素 · 全部实体（第 32 / 100 页）

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• BlueEdge neural network approach and its application to automated data type classification in mobile edge computing.
  europepmc 2025 置信度 0.80
• Sociotechnical safeguards for genomic data privacy.
  europepmc 2022 置信度 0.80
• FastLloyd
  FastLloyd: Federated, Accurate, Secure, and Tunable k-Means Clustering with Differential Privacy FastLloyd is an approach to privacy-preserving k-means clustering in horizontally federated settings. It offersstate-of-the-art utility while providing formal priv…
  datacite Diaa, Abdulrahman, Humphries, Thomas, Kerschbaum, Florian 2025 置信度 0.66
• FastLloyd
  FastLloyd: Federated, Accurate, Secure, and Tunable k-Means Clustering with Differential Privacy FastLloyd is an approach to privacy-preserving k-means clustering in horizontally federated settings. It offersstate-of-the-art utility while providing formal priv…
  datacite Diaa, Abdulrahman, Humphries, Thomas, Kerschbaum, Florian 2025 置信度 0.66
• FastLloyd
  FastLloyd: Federated, Accurate, Secure, and Tunable k-Means Clustering with Differential Privacy FastLloyd is an approach to privacy-preserving k-means clustering in horizontally federated settings. It offersstate-of-the-art utility while providing formal priv…
  datacite Diaa, Abdulrahman, Humphries, Thomas, Kerschbaum, Florian 2025 置信度 0.66
• An Attack to Break Permutation-Based Private Third-Party Inference Schemes for LLMs
  Recent advances in Large Language Models (LLMs) have led to the widespread adoption of third-party inference services, raising critical privacy concerns. Existing methods of performing private third-party inference, such as Secure Multiparty Computation (SMPC)…
  datacite Thomas, Rahul, Zahran, Louai, Choi, Erica, Potti, Akilesh 等 2025 置信度 0.66 Cryptography and Security (cs.CR)Machine Learning (cs.LG)FOS: Computer and information sciencesFOS: Computer and information sciences
• Card-Based Protocols Imply PSM Protocols
  Card-based cryptography is the art of cryptography using a deck of physical cards. While this area is known as a research area of recreational cryptography and is recently paid attention in educational purposes, there is no systematic study of the relationship…
  datacite Shinagawa, Kazumasa, Nuida, Koji 2025 置信度 0.66 Card-based cryptographyprivate simultaneous messagesSecurity and privacy → Information-theoretic techniques
• Adaptive Multimodal Fusion in Vertical Federated Learning for Decentralized Glaucoma Screening.
  europepmc 2025 置信度 0.80
• MINDDS-connect: a federated data platform integrating biobanks for meta cohort building and analysis.
  europepmc 2025 置信度 0.80
• Verticox+: vertically distributed Cox proportional hazards model with improved privacy guarantees.
  europepmc 2025 置信度 0.80
• Privacy-Preserving Glycemic Management in Type 1 Diabetes: Development and Validation of a Multiobjective Federated Reinforcement Learning Framework.
  europepmc 2025 置信度 0.80
• A Survey on Secure WiFi Sensing Technology: Attacks and Defenses.
  europepmc 2025 置信度 0.80
• Time-managed PAPR use enables a balanced approach to infection control and personal freedom.
  europepmc 2025 置信度 0.80
• Continuous Authentication in Resource-Constrained Devices via Biometric and Environmental Fusion.
  europepmc 2025 置信度 0.80
• Precision cardiovascular medicine with big data and AI.
  europepmc 2026 置信度 0.80
• AI-engineered multifunctional nanoplatforms: synergistically bridging precision diagnosis and intelligent therapy in next-generation oncology.
  europepmc 2025 置信度 0.80
• The development and validation of a privacy-preserving model based on federated learning for diagnosing severe pediatric pneumonia.
  europepmc 2025 置信度 0.80
• Secure Multiparty Computation For Data Sharing
  Secure Multiparty Computation (SMPC) enables multiple parties to collaborate and compute outcomes from their respective private data without sharing the data per se with one another. This document discusses applying the additive secret sharing method in order …
  crossref Mrs. DURGABHAVANI BATTU, BHAVANA SINGH CHOUHAN, ARE VARSHINI, BANOTH SRAVANTHI 2025-12-16T02:48:03Z 置信度 0.70
• Healthcare Futures: Opportunities, Challenges and Risks in a Blockchain-Driven Environment.
  europepmc 2024 置信度 0.80
• Data spaces and self-sovereign identity: Ecosystem landscape and a systematic literature review on Gaia-X-aligned data spaces.
  europepmc 2026 置信度 0.80
• Federated Learning with Privacy Preserving for Multi- Institutional Three-Dimensional Brain Tumor Segmentation.
  europepmc 2024 置信度 0.80
• TPAAS: Trustworthy privacy-preserving anonymous authentication scheme for online trading environment.
  europepmc 2024 置信度 0.80
• Safeguarding digital livestock farming - a comprehensive cybersecurity roadmap for dairy and poultry industries.
  The rapid digital transformation of dairy and poultry farming through big data analytics and Internet of Things (IoT) innovations has significantly advanced precision management of feeding, animal health, and environmental conditions. However, this digitizatio…
  europepmc 2025 置信度 0.80
• Prospects and perils of ChatGPT in diabetes.
  europepmc 2025 置信度 0.80
• Federated influencer learning for secure and efficient collaborative learning in realistic medical database environment.
  europepmc 2024 置信度 0.80
• A federated learning architecture for secure and private neuroimaging analysis.
  europepmc 2024 置信度 0.80
• DeepSeek vs. ChatGPT: prospects and challenges.
  europepmc 2025 置信度 0.80
• Synthetic data in medical imaging within the EHDS: a path forward for ethics, regulation, and standards.
  europepmc 2025 置信度 0.80
• A Novel Grammar-Based Approach for Patients' Symptom and Disease Diagnosis Information Dissemination to Maintain Confidentiality and Information Integrity.
  europepmc 2024 置信度 0.80
• Future-proofing genomic data and consent management: a comprehensive review of technology innovations.
  europepmc 2024 置信度 0.80
• Future of Telepresence Services in the Evolving Fog Computing Environment: A Survey on Research and Use Cases.
  europepmc 2025 置信度 0.80
• Secondary use under the European Health Data Space: setting the scene and towards a research agenda on privacy-enhancing technologies.
  europepmc 2025 置信度 0.80
• A Conditional Privacy-Preserving Identity-Authentication Scheme for Federated Learning in the Internet of Vehicles.
  europepmc 2024 置信度 0.80
• Why Should a Genome Be Protected? Ethical, Legal, and Security Challenges in the Protection of Genomic Data.
  europepmc 2026 置信度 0.80
• ACHealthChain blockchain framework for access control and privacy preservation in healthcare.
  europepmc 2025 置信度 0.80
• Computational challenges and solutions: Prime number generation for enhanced data security.
  europepmc 2024 置信度 0.80
• U.S.-U.K. PETs Prize Challenge: Anomaly Detection via Privacy-Enhanced Federated Learning.
  europepmc 2024 置信度 0.80
• Quantum Privacy-Preserving Range Query Protocol for Encrypted Data in IoT Environments.
  europepmc 2024 置信度 0.80
• Advancing genome-based precision medicine: a review on machine learning applications for rare genetic disorders.
  europepmc 2025 置信度 0.80
• Secure federated learning for Alzheimer's disease detection.
  europepmc 2024 置信度 0.80
• Blockchain-based energy consumption approaches in IoT.
  europepmc 2024 置信度 0.80
• Rare disease genomics and precision medicine.
  europepmc 2024 置信度 0.80
• Legal regulation of AI-assisted academic writing: challenges, frameworks, and pathways.
  europepmc 2025 置信度 0.80
• Strategy for maximizing space utilization in smart libraries based on reinforcement learning.
  europepmc 2025 置信度 0.80
• Based on model randomization and adaptive defense for federated learning schemes.
  europepmc 2025 置信度 0.80
• A compressed image encryption algorithm leveraging optimized 3D chaotic maps for secure image communication.
  europepmc 2025 置信度 0.80
• Exploring security threats and solutions Techniques for Internet of Things (IoT): from vulnerabilities to vigilance.
  europepmc 2024 置信度 0.80
• Privacy-preserving patient clustering for personalized federated learning.
  europepmc 2023 置信度 0.80
• Balancing privacy and performance in healthcare: A federated learning framework for sensitive data.
  europepmc 2025 置信度 0.80
• On the Security of Offloading Post-Processing for Quantum Key Distribution.
  europepmc 2023 置信度 0.80
• Privacy-preserving computation in the post-quantum era.
  This perspectives article surveys the most promising privacy-preserving cryptographic technologies including secure multiparty computation, zero-knowledge proofs and fully homomorphic encryption, and their various real-world applications.
  pubmed Yu Y, Xie X 2021 置信度 0.82
• Mapping Research Trends and Collaborative Networks in Swarm Intelligence for Healthcare Through Visualization.
  europepmc 2024 置信度 0.80
• Legal aspects of privacy-enhancing technologies in genome-wide association studies and their impact on performance and feasibility.
  europepmc 2024 置信度 0.80
• Federated privacy-protected meta- and mega-omics data analysis in multi-center studies with a fully open-source analytic platform.
  europepmc 2024 置信度 0.80
• Post-quantum healthcare: A roadmap for cybersecurity resilience in medical data.
  europepmc 2024 置信度 0.80
• AI-Driven Personalized Nutrition: Integrating Omics, Ethics, and Digital Health.
  europepmc 2025 置信度 0.80
• Privacy-preserving multicenter differential protein abundance analysis with FedProt.
  europepmc 2025 置信度 0.80
• Proceedings from the inaugural Artificial Intelligence in Primary Immune Deficiencies (AIPID) conference.
  europepmc 2024 置信度 0.80
• Enhancing secure multi-group data sharing through integration of IPFS and hyperledger fabric.
  europepmc 2024 置信度 0.80
• A hybrid rule-based NLP and machine learning approach for PII detection and anonymization in financial documents.
  europepmc 2025 置信度 0.80
• Data driven healthcare insurance system using machine learning and blockchain technologies.
  europepmc 2025 置信度 0.80
• A Dynamic Trust evaluation and update model using advance decision tree for underwater Wireless Sensor Networks.
  europepmc 2024 置信度 0.80
• Federated Analysis for Privacy-Preserving Data Sharing: A Technical and Legal Primer.
  europepmc 2023 置信度 0.80
• Personalized cognitive enhancement for older adults: An aging-friendly closed-loop human-machine interface framework.
  europepmc 2025 置信度 0.80
• Encrypted Network Traffic Analysis and Classification Utilizing Machine Learning.
  europepmc 2024 置信度 0.80
• Private Continuous Survival Analysis with Distributed Multi-Site Data.
  europepmc 2023 置信度 0.80
• Cloud Digital Forensics: Beyond Tools, Techniques, and Challenges.
  europepmc 2024 置信度 0.80
• A hierarchical strategy to minimize privacy risk when linking "De-identified" data in biomedical research consortia.
  europepmc 2023 置信度 0.80
• Secure Aggregation Protocol Based on DC-Nets and Secret Sharing for Decentralized Federated Learning.
  europepmc 2024 置信度 0.80
• Evaluating Federated Learning Simulators: A Comparative Analysis of Horizontal and Vertical Approaches.
  europepmc 2024 置信度 0.80
• Sequential Discrimination of Mixed Quantum States.
  europepmc 2025 置信度 0.80
• Foundational models and federated learning: survey, taxonomy, challenges and practical insights.
  europepmc 2025 置信度 0.80
• DeCoTa: a lightweight decentralized cross-chain transfer scheme based on hash-locking.
  europepmc 2025 置信度 0.80
• Privacy-Conducive Data Ecosystem Architecture: By-Design Vulnerability Assessment Using Privacy Risk Expansion Factor and Privacy Exposure Index.
  europepmc 2025 置信度 0.80
• New Tools for Data Harmonization and Their Potential Applications in Organ Transplantation.
  europepmc 2024 置信度 0.80
• Centralized and Federated Models for the Analysis of Clinical Data.
  europepmc 2024 置信度 0.80
• Deep Learning Network Selection and Optimized Information Fusion for Enhanced COVID-19 Detection: A Literature Review.
  europepmc 2025 置信度 0.80
• Privacy-Preserving Face Recognition Method Based on Randomization and Local Feature Learning.
  europepmc 2024 置信度 0.80
• Applications of Big Data and Blockchain Technology in Food Testing and Their Exploration on Educational Reform.
  europepmc 2024 置信度 0.80
• Artificial intelligence in chronic kidney disease: Early detection, risk prediction, and personalized treatment strategies.
  europepmc 2026 置信度 0.80
• Generative AI for thematic analysis in a maternal health study: coding semistructured interviews using large language models.
  europepmc 2025 置信度 0.80
• NeuroCrypt: Machine Learning Over Encrypted Distributed Neuroimaging Data.
  europepmc 2022 置信度 0.80
• Accessible Ecosystem for Clinical Research (Federated Learning for Everyone): Development and Usability Study.
  europepmc 2024 置信度 0.80
• Optimal ElGamal Encryption with Hybrid Deep-Learning-Based Classification on Secure Internet of Things Environment.
  europepmc 2023 置信度 0.80
• Perspective review: Will generative AI make common data models obsolete in future analyses of distributed data networks?
  europepmc 2025 置信度 0.80
• Empowering Privacy Through Peer-Supervised Self-Sovereign Identity: Integrating Zero-Knowledge Proofs, Blockchain Oversight, and Peer Review Mechanism.
  europepmc 2024 置信度 0.80
• A Systematic Review on the Applications of Uppaal.
  europepmc 2025 置信度 0.80
• STIF: Intuitionistic fuzzy Gaussian membership function with statistical transformation weight of evidence and information value for private information preservation.
  europepmc 2023 置信度 0.80
• A Review of Recent Hardware and Software Advances in GPU-Accelerated Edge-Computing Single-Board Computers (SBCs) for Computer Vision.
  europepmc 2024 置信度 0.80
• A hybrid AI-Blockchain security framework for smart grids.
  europepmc 2025 置信度 0.80
• Streamline automated biomedical discoveries with agentic bioinformatics.
  europepmc 2025 置信度 0.80
• Recommendations for Successful Development and Implementation of Digital Health Technology Tools.
  europepmc 2025 置信度 0.80
• Towards practical privacy-preserving genome-wide association study.
  The deployment of Genome-wide association studies (GWASs) requires genomic information of a large population to produce reliable results. This raises significant privacy concerns, making people hesitate to contribute their genetic information to such studies.
  pubmed Bonte C, Makri E, Ardeshirdavani A, Simm J 等 2018 置信度 0.82
• Assisted cloning of an unknown shared quantum state.
  europepmc 2024 置信度 0.80
• Privacy-preserving data sharing infrastructures for medical research: systematization and comparison.
  europepmc 2021 置信度 0.80
• A Review of OBD-II-Based Machine Learning Applications for Sustainable, Efficient, Secure, and Safe Vehicle Driving.
  europepmc 2025 置信度 0.80
• RETRACTED ARTICLE: Securing health care data through blockchain enabled collaborative machine learning.
  europepmc 2023 置信度 0.80
• Edge computing with federated learning for early detection of citric acid overdose and adjustment of regional citrate anticoagulation.
  europepmc 2025 置信度 0.80
• Privacy-Preserving Friend Recommendation in an Integrated Social Environment.
  europepmc 2020 置信度 0.80
• Blockchain Based Decentralized and Proactive Caching Strategy in Mobile Edge Computing Environment.
  europepmc 2024 置信度 0.80