隐私计算与数据要素 · 全部实体（第 6 / 100 页）

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• Instance-Specific Asymmetric Sensitivity in Differential Privacy
  crossref David Durfee 2025-11-03T11:20:56Z 置信度 0.66
• A Secure and Privacy-Preserving Framework for Healthcare Data Management Using Deterministic Additive Noise and Differential Privacy in Cloud Environments
  crossref Yousef Alsaud, Danda B Rawat 2025-01-16T18:31:23Z 置信度 0.66
• Privacy Protection Scheme for Cyberspace Mapping Data Based on Differential Privacy
  crossref Yue Zhang, Guanlin Si, Bin Dong, Leran Chen 等 2024-11-04T18:31:47Z 置信度 0.66
• Bridging Quantum Computing and Differential Privacy: Insights into Quantum Computing Privacy
  crossref Yusheng Zhao, Hui Zhong, Xinyue Zhang, Yuqing Li 等 2025-01-10T20:12:43Z 置信度 0.66
• A Method for Protecting the Privacy of Massive Data Based on Differential Privacy
  crossref Haitao Yu, Yifan Sun, Junyi Xie, Yongdi Bao 等 2025-02-06T18:32:50Z 置信度 0.66
• Privacy in Motion: Implementing Differential Privacy for User Motion in VR
  crossref Ruoxi Sun, Hanwen Wang, Hsiang-Ting Chen, Minhui Xue 2025-09-29T15:13:01Z 置信度 0.66
• A Survey of Privacy Preserving Methods based on Differential Privacy for Medical Data
  crossref Haicao Yan, Menghan Yin, Chaokun Yan, Wenjuan Liang 2024-06-03T17:28:14Z 置信度 0.66
• Balancing Between Privacy and Utility for Affect Recognition using Multi Task Learning in Differential Privacy Added Federated Learning Settings (Preprint)
  BACKGROUND The rise of wearable sensors marks a pivotal development in the era of affective computing. These sensors, gaining increasing popularity, hold the potential to revolutionize our understanding of human stress. A fundamental aspect within this domain …
  crossref Mohamed Benouis, Elisabeth Andre, Yekta CAN 2024-04-29T13:42:56Z 置信度 0.82 computer sciencecomputer and information sciencescs.lgmachine learningbrain-computer interface
• Privacy-Preserving Social Network Clustering Using Differential Privacy
  crossref K Sathiyapriya, R Kavin Aravindhan, B Kireshvanth, Yadav Ranganathan 等 2024-09-03T17:19:41Z 置信度 0.66
• Location Privacy Protection and 911 Task Allocation in Vehicle-Based via Differential Privacy
  crossref Deyuan Qu, Dominic Carrillo, Sudip Dhakal, Mohammad Dehghani Tezerjani 等 2025-01-10T19:44:30Z 置信度 0.66
• ULDP: A User-Centric Local Differential Privacy Optimization Method
  crossref Wenjun Yang, Eyhab Al-Masri 2024-07-10T17:21:40Z 置信度 0.66
• Privacy-preserving Searchable Encryption Based on Anonymization and Differential privacy
  crossref Caixia Ma, Chunfu Jia, Ruizhong Du, Guanxiong Ha 等 2024-10-15T17:19:18Z 置信度 0.66
• Preserving Medical Data with Renyi Differential Privacy
  crossref Olusola Tolulope Odeyomi, Harshitha Karnati, Austin Smith 2024-07-10T17:21:40Z 置信度 0.66
• Enhancing Client Privacy in Physiology-Based Biometric Verification with Differential Privacy and Positive-Label Federated Learning
  crossref Mohamed Benouis, Bhargavi Mahesh, Elisabeth André, Yekta Said Can 2024-07-22T17:31:28Z 置信度 0.66
• Differential Privacy in Nonlinear Dynamical Systems with Tracking Performance Guarantees
  crossref Dhrubajit Chowdhury, Raman Goyal, Shantanu Rane 2024-09-05T17:56:19Z 置信度 0.66
• Optimizing Image Recognition Algorithms with Differential Privacy Integration
  crossref Shaoyu Yang 2024-06-26T08:03:44Z 置信度 0.66
• DP-EPSO: Differential privacy protection algorithm based on differential evolution and particle swarm optimization
  crossref Qiang Gao, Han Sun, Zhifang Wang 2024-01-09T15:18:33Z 置信度 0.66
• Data Level Privacy Preserving: A Stochastic Perturbation Approach Based on Differential Privacy (Extended abstract)
  crossref Chuan Ma, Long Yuan, Li Han, Ming Ding 等 2024-07-23T17:38:03Z 置信度 0.66
• Anti‐Leakage Method of Sensitive Information of Network Documents Based on Differential Privacy Model
  ABSTRACT This article proposes a method for preventing sensitive information leakage in network documents based on differential privacy models to ensure the security of sensitive information in network documents. Based on the definition of differential privacy…
  crossref Shuhui Su, Yonghan Luo, Tao Li, Qi Chen 等 2024-12-24T10:09:01Z 置信度 0.82 cryptography and securitycomputer and information sciencesblockchaincomputer securitynetworking and internet architecture
• Privacy-preserving Federated Learning for Industrial Defect Detection Systems via Differential Privacy and Image Obfuscation
  crossref Chia-Yu Lin, Yu-Chen Yeh, Makena Lu 2024-07-30T17:50:37Z 置信度 0.66
• Whispered Tuning: Data Privacy Preservation in Fine-Tuning LLMs through Differential Privacy
  crossref Tanmay Singh, Harshvardhan Aditya, Vijay K. Madisetti, Arshdeep Bahga 2024-01-22T03:06:08Z 置信度 0.66
• An Efficient Data Privacy Protection System Based on Differential Privacy
  crossref D. Vetrithangam 2024-01-02T23:02:06Z 置信度 0.66
• 1-Diffractor: Efficient and Utility-Preserving Text Obfuscation Leveraging Word-Level Metric Differential Privacy
  crossref Stephen Meisenbacher, Maulik Chevli, Florian Matthes 2024-06-11T00:20:03Z 置信度 0.66
• FedCRM: Privacy-Preserving Federated Learning for Enterprise Salesforce CRM Analytics with Heterogeneous Schema Support and Differential Privacy
  Enterprise Salesforce CRM implementations across business units, subsidiaries, and partner organisations contain customer relationship data whose analytical value substantially exceeds what any individual CRM yields from isolated local analysis. However, data …
  crossref Lalith Chandra Bandaru 2026-05-27T13:10:51Z 置信度 0.82 computer and information sciencescs.aimachine learningcs.lgcryptography and security
• DIFFERENTIAL PRIVACY IN BIG DATA ANALYTICS: TECHNIQUES AND APPLICATIONS
  Differential privacy (DP) is a powerful privacy-preserving technique aimed at protecting individual data in statistical analyses. With the proliferation of big data in diverse sectors such as healthcare, finance, and social media, ensuring privacy without sacr…
  crossref Dr. Amina Farooq 2026-04-11T09:25:35Z 置信度 0.82 data sciencecomputer sciencebig datacloud computinghealth care
• Visualizing Differential Privacy: Assessing Infographics' Impact on Layperson Data-sharing Decisions and Comprehension
  crossref Mst Mahamuda Sarkar Mithila, Fangyi Yu, Miguel Vargas Martin, Shengqian Wang 2024-12-16T19:15:09Z 置信度 0.66
• Privacy-Preserving Graph Embedding based on Local Differential Privacy
  crossref Zening Li, Rong-Hua Li, Meihao Liao, Fusheng Jin 等 2024-10-20T19:34:21Z 置信度 0.66
• Federated learning with hybrid differential privacy for secure and reliable <scp>cross‐IoT</scp> platform knowledge sharing
  Abstract The federated learning has gained prominent attention as a collaborative machine learning method, allowing multiple users to jointly train a shared model without directly exchanging raw data. This research addresses the fundamental challenge of balanc…
  crossref Oshamah Ibrahim Khalaf, Ashokkumar S.R, Sameer Algburi, Anupallavi S 等 2024-02-03T05:35:03Z 置信度 0.82 computer and information sciencescomputer sciencemachine learningartificial intelligencecs.lg
• A trajectory protection method based on differential privacy and semantic attributes
  crossref 2024-05-24T00:46:41Z 置信度 0.66
• Personalized trajectory differential privacy protection mechanism based on spatiotemporal correlation prediction
  crossref 2024-02-27T00:38:33Z 置信度 0.66
• Mechanisms for Global Differential Privacy under Bayesian Data Synthesis
  crossref Jingchen Hu, Matthew R. Williams, Terrance D. Savitsky 2023-08-15T06:07:57Z 置信度 0.64
• STUDY ON DIFFERENTIAL PRIVACY WITH MACHINE LEARNING
  crossref 2024-01-19T19:47:11Z 置信度 0.66
• AI Model Training Data Privacy Protection Scheme Based on Local Differential Privacy
  crossref Yue Zhang, Lin Li, Cong Hou, Min Li 等 2025-02-11T18:21:13Z 置信度 0.66
• A secure and privacy preserved infrastructure for VANETs based on federated learning with local differential privacy
  crossref Hajira Batool, Adeel Anjum, Abid Khan, Stefano Izzo 等 2023-10-10T13:05:13Z 置信度 0.64
• Escalation of Commitment: A Case Study of the United States Census Bureau Efforts to Implement Differential Privacy for the 2020 Decennial Census (Forthcoming in: In Proceedings of Privacy in Statistical Databases -PSD 2024)
  In 2017, the United States Census Bureau announced that because of high disclosure risk in the methodology (data swapping) used to produce tabular data for the 2010 census, a different protection mechanism based on differential privacy would be used for the 20…
  crossref Krish Muralidhar, Steven Ruggles 2024-07-31T07:49:11Z 置信度 0.82 cryptography and securityinternal medicinemedlinebiologyastro-ph.ep
• A Collocation-based Method for Addressing Challenges in Word-level Metric Differential Privacy
  crossref Stephen Meisenbacher, Maulik Chevli, Florian Matthes 2024-09-20T19:33:08Z 置信度 0.66
• Incompatibilities Between Current Practices in Statistical Data Analysis and Differential Privacy
  The authors discuss their experience applying differential privacy with a complex data set with the goal of enabling standard approaches to statistical data analysis. They highlight lessons learned and roadblocks encountered, distilling them into incompatibili…
  crossref Joshua Snoke, Claire McKay Bowen, Aaron R. Williams, Andrés F. Barrientos 2024-08-28T03:11:41Z 置信度 0.82 cryptography and securitybig datadata sciencecomputer and information sciencespsychology
• Secure and Efficient k-anonymous Trajectory Privacy Protection Method based on Differential Privacy
  The Location-based service scheme have already involved in every aspect of People's daily life and are increasingly used in various industries. Aiming at the problem of the security and efficiency of mobile terminal users’ trajectory privacy protection in loca…
  crossref Yuanlong Fan, Cheng Song, Zhichao Wang 2024-10-15T08:39:20Z 置信度 0.82 computer and information scienceselectrical engineering, electronic engineering, information engineeringcryptography and securitycs.nieess.sp
• Consumer Data Without Compromise: Integrating Differential Privacy and GANs for Privacy-Preserving Digital Marketing
  In the rapidly evolving digital marketing landscape, the utilization of consumer data is essential for efficient targeting and personalization of marketing practices. However, the growing concerns regarding user privacy and stringent data protection regulation…
  crossref Zhuo Chen 2024-01-03T22:46:23Z 置信度 0.82 computer and information sciencescs.aicloud computingcryptography and securitycomputer science
• A Privacy-Preserving Decentralized Federated Learning Framework Based on Differential Privacy
  crossref Lin Wang, Di Zhang, Min Guo, Xun Shao 2025-03-24T17:52:22Z 置信度 0.66
• Unbiased Statistical Estimation and Valid Confidence Intervals Under Differential Privacy
  crossref Christian Covington, Xi He, James Honaker, Gautam Kamath 2024-01-08T20:54:01Z 置信度 0.66
• Quantum Enhanced Federated Learning with Differential Privacy
  crossref Shoaib Ullah, Madam Hussain Shah, Adeel Anjum 2025-01-17T18:32:11Z 置信度 0.66
• On the Extreme Points of the (0, δ) - Differential Privacy Polytope
  crossref Karan Elangovan, Varun Jog 2024-08-19T13:25:01Z 置信度 0.66
• Stabilizing updates in differentially private stochastic gradient descent with buffered rejection.
  europepmc 2026 置信度 0.72
• Differential Privacy Protection Against Membership Inference Attack on Machine Learning for Genomic Data
  preprints 2020 置信度 0.68
• Differential privacy in the 2020 US census: what will it do? Quantifying the accuracy/privacy tradeoff
  preprints 2020 置信度 0.68
• Privacy-Preserving and Robust Watermarking on Sequential Genome Data using Belief Propagation and Local Differential Privacy
  preprints 2020 置信度 0.68
• Privacy-Preserving Information Fusion of Heterogeneous Cross-Jurisdictional Sources for Traffic Accident Severity Prediction
  preprints 2026 置信度 0.70
• DEAR-OWL: a fully browser-based hybrid resource for instant or precise differential gene expression analysis
  preprints 2026 置信度 0.67
• 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 0.70
• Privacy-Preserving Matching for Federated Causal Inference in Multicentre Patient Cohorts
  preprints 2026 置信度 0.70
• Auditing Explanation Faithfulness in Privacy-Preserving Federated Intrusion Detection
  preprints 2026 置信度 0.70
• 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 0.67
• The impact of privacy risk perception on initial trust in autonomous vehicle: Differential responses of professionals and non-professionals
  preprints 2026 置信度 0.70
• Multi-sensor Privacy Data Tampering Prevention Method under Flood Attacks
  preprints 2026 置信度 0.67
• Adversarial Evaluation of a Two-Layer Anonymization Pipeline Against Record-Linkage Attacks
  preprints 2026 置信度 0.70
• 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 0.70
• Hō‘ike: A Joint-Embedding Predictive Architecture for Transcriptome Data Generation with Diffusion Models
  preprints 2026 置信度 0.63
• 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 0.70
• D-PGAN: A Differentially Private Generative Adversarial Network for Multi-Party Publishing of High-Dimensional Tabular Data
  preprints 2026 置信度 0.67
• Dark Social Inference for Early Detection of Coordinated Misinformation Campaigns
  europepmc 2026 置信度 0.68
• BApplying Deep Personal Privacy (DPP An Empirical Framework for Inference Resistance in Large Language Models
  preprints 2026 置信度 0.67
• (d, c, l)-Privacy : Privacy Preservation Models for Content‑Sensitive Datasets Using Information Retrieval Techniques
  preprints 2026 置信度 0.70
• Attacks and Defenses in Differentially Private Deep Learning: New Security Risks in New Era
  preprints 2026 置信度 0.70
• Emergency Monitoring via Encrypted Reverberation and Graph-based Environmental Detection of Anomalous Kinetic events (EMERGE-DARK)
  preprints 2026 置信度 0.67
• Towards Useful and Private Synthetic Omics: Community Benchmarking of Generative Models for Transcriptomics Data
  preprints 2026 置信度 0.63
• FedEmoNet: Privacy-Preserving FederatedLearning with TCN-Transformer Fusion forCross-Corpus Speech Emotion Recognition
  preprints 2026 置信度 0.70
• A Cross-layer Provenance-Protection Architecture for Repeated Quantum Measurements in the Cloud
  preprints 2026 置信度 0.67
• Differentially Private Lasso: An ISTA Framework with Finite-Iteration Guarantees
  preprints 2026 置信度 0.67
• A Federated and Differentially Private Incentive–Marketing Framework for Privacy-Preserving Cross-Channel Measurement in AI-Powered Digital Commerce
  preprints 2026 置信度 0.70
• 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 0.63
• Towards Trustworthy Cyber-Physical Futures: Comprehensive Survey of Trust and Security in Digital Twin Systems
  Digital Twin (DT) systems are revolutionizing modern industry by enabling real-time monitoring, simulation, and predictive control of physical assets. However, their widespread adoption in critical domains is contingent upon the trust and security they inspire…
  preprints 2026 置信度 0.86 computer sciencedata scienceengineeringcomputer securitykey
• Secure Data Sharing for Real Estate Valuation Using Blockchain Technology
  preprints 2026 置信度 0.70
• SAP-TrajWGP: A Semantic-Aware Personalized Trajectory Privacy Protection Algorithm Based on WGAN-GP
  preprints 2026 置信度 0.67
• DP-Protected LightGBM Framework for Smart Home Malicious Traffic Detection
  preprints 2026 置信度 0.63
• AtlasLens: Metadata-centric exploration and analysis of single-cell atlases
  preprints 2026 置信度 0.63
• Analyzing Model Extraction Vulnerabilities in Commercial Security AI Services
  preprints 2026 置信度 0.63
• A Values-Driven Data Protection Framework for AI Adoption in Emerging Economies
  preprints 2026 置信度 0.63
• TrustDS: A Policy-First, Privacy-Preserving Framework for Interoperable Marketplace Data Exchange Across Edge and Multi-Cloud Environments 
  preprints 2026 置信度 0.70
• Telehealth- Integrated Smart Tourism Platforms Addressing Urban Care Gaps Through Real Time Health Monitoring for Active Aging Seniors
  preprints 2026 置信度 0.63
• 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 0.94 computer scienceartificial intelligencecomputer and information sciencesscience policydata science
• A Novel Multi-Stage Fusion Pipeline for Robust and Interpretable Melanoma Classification Using Physics-Informed and Vision-Language Models
  preprints 2026 置信度 0.63
• A False Sense of Privacy: Evaluating the Limitsof Textual Data Sanitization for Privacy Protection
  preprints 2025 置信度 0.67
• 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 0.86 computer and information sciencescryptography and securitycomputer scienceconvolutional neural networkbiology
• Personal Intelligence: Toward a User-Governed Preference Substrate for the Age of Agentic AI
  preprints 2026 置信度 0.63
• UWSDF-UIoT: Underwater Acoustic Context-Aware Deep Fusion Framework for Secure Data Transmission in Underwater IoT Networks
  preprints 2026 置信度 0.67
• Autoencoder-Enhanced Hierarchical Mondrian Anonymization via Latent Representations
  preprints 2026 置信度 0.67
• Differentially Private Bagging Ensemble with Adaptive Privacy Budgeting for Credit Card Fraud Detection
  preprints 2025 置信度 0.70
• Wavelet-Domain Privacy SGD (WDP-SGD): FrequencySelective Privacy-Preserving Medical AI.
  preprints 2025 置信度 0.70
• 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 0.67
• SkinGuardian: On-Device AI for Private, Fair, Robust, and Explainable Skin Cancer Detection
  preprints 2026 置信度 0.63
• SkinGuardian: On-Device AI for Private, Fair, Robust, and Explainable Skin Cancer Detection
  preprints 2026 置信度 0.63
• GlioVision: A Multi-Modal MRI Framework for Non-Invasive Glioma Molecular Biomarkers Prediction
  preprints 2026 置信度 0.63
• Walking as a Window to the Brain: Redefining Gait in Neurology
  preprints 2026 置信度 0.63
• Research on Personalized Location Trajectory Privacy Protection Strategy Based on Mutual Information
  preprints 2025 置信度 0.67
• PALSYN: A Method for Synthetic Multi-Perspective Event Log Generation with Differential Private Guarantees
  preprints 2025 置信度 0.67
• A Survey on Peer-to-Peer Network Testing Techniques
  preprints 2026 置信度 0.67
• Privacy-Aware Federated nnU-Net for ECG Page Digitization
  preprints 2025 置信度 0.70
• A Novel FedLLM Intrusion Detection Frameworkfor Privacy-Preserving Security in IoT EnabledSmart City Network
  preprints 2025 置信度 0.70
• A FAIR/FHIR aligned, reproducible multi omics and epidemiology framework for privacy preserving clinical research
  preprints 2025 置信度 0.70