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Survey on Privacy-Preserving Techniques for Microdata Publication
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/0470090456.ch13openalex-snapshot
Statistical Disclosure Techniques Based on Multiple Imputation
inferredcites →https://doi.org/10.1002/asi.5090060209openalex-snapshot
Machine literature searching VIII. Operational criteria for designing information retrieval systems
inferredcites →https://doi.org/10.1002/sec.1527openalex-snapshot
An effective value swapping method for privacy preserving data publishing
inferredcites →https://doi.org/10.1002/spe.2812openalex-snapshot
Flexible data anonymization using ARX—Current status and challenges ahead
inferredcites →https://doi.org/10.1002/widm.1399openalex-snapshot
Privacy preserving classification over differentially private data
inferredcites →https://doi.org/10.1007/0-387-28222-x_20openalex-snapshot
Global Disclosure Risk for Microdata with Continuous Attributes
inferredcites →https://doi.org/10.1007/11930242_15openalex-snapshot
Why Swap When You Can Shuffle? A Comparison of the Proximity Swap and Data Shuffle for Numeric Data
inferredcites →https://doi.org/10.1007/11930242_20openalex-snapshot
Using Mahalanobis Distance-Based Record Linkage for Disclosure Risk Assessment
inferredcites →https://doi.org/10.1007/3-540-47804-3_12openalex-snapshot
LHS-Based Hybrid Microdata vs Rank Swapping and Microaggregation for Numeric Microdata Protection
inferredcites →https://doi.org/10.1007/3-540-47804-3_8openalex-snapshot
Microdata Protection through Noise Addition
inferredcites →https://doi.org/10.1007/978-0-387-70992-5_3openalex-snapshot
A Survey of Inference Control Methods for Privacy-Preserving Data Mining
inferredcites →https://doi.org/10.1007/978-1-4612-4028-0openalex-snapshot
Statistical Disclosure Control in Practice
inferredcites →https://doi.org/10.1007/978-1-4613-0121-9openalex-snapshot
Elements of Statistical Disclosure Control
inferredcites →https://doi.org/10.1007/978-3-030-18576-3openalex-snapshot
Database Systems for Advanced Applications
inferredcites →https://doi.org/10.1007/978-3-030-57521-2_2openalex-snapshot
$$\epsilon $$-Differential Privacy for Microdata Releases Does Not Guarantee Confidentiality (Let Alone Utility)
inferredcites →https://doi.org/10.1007/978-3-030-74251-5_34openalex-snapshot
The Compromise of Data Privacy in Predictive Performance
inferredcites →https://doi.org/10.1007/978-3-030-80568-5_26openalex-snapshot
A Fuzzy Approach to Identity Resolution
inferredcites →https://doi.org/10.1007/978-3-031-09342-5_17openalex-snapshot
DP-CTGAN: Differentially Private Medical Data Generation Using CTGANs
inferredcites →https://doi.org/10.1007/978-3-319-09885-2_4openalex-snapshot
A Review of Attribute Disclosure Control
inferredcites →https://doi.org/10.1007/978-3-319-45381-1_17openalex-snapshot
Rank-Based Record Linkage for Re-Identification Risk Assessment
inferredcites →https://doi.org/10.1007/978-3-319-57358-8_5openalex-snapshot
Privacy Models and Disclosure Risk Measures
inferredcites →https://doi.org/10.1007/978-3-319-78461-8_1openalex-snapshot
The Power of Microdata: An Introduction
inferredcites →https://doi.org/10.1007/978-3-319-99771-1_14openalex-snapshot
Comparative Study of the Effectiveness of Perturbative Methods for Creating Official Microdata in Japan
inferredcites →https://doi.org/10.1007/978-3-540-25955-8_13openalex-snapshot
Microaggregation for Categorical Variables: A Median Based Approach
inferredcites →https://doi.org/10.1007/978-3-540-25955-8_16openalex-snapshot
Outlier Protection in Continuous Microdata Masking
inferredcites →https://doi.org/10.1007/978-3-540-25955-8_2openalex-snapshot
Data Swapping: Variations on a Theme by Dalenius and Reiss
inferredcites →https://doi.org/10.1007/978-3-540-87471-3_15openalex-snapshot
Robust Statistics Meets SDC: New Disclosure Risk Measures for Continuous Microdata Masking
inferredcites →https://doi.org/10.1007/978-3-642-15838-4_24openalex-snapshot
Privacy-Preserving Record Linkage
inferredcites →https://doi.org/10.1007/978-3-642-24861-0_22openalex-snapshot
How Much Is Enough? Choosing ε for Differential Privacy
inferredcites →https://doi.org/10.1007/978-3-642-28320-8openalex-snapshot
New Frontiers in Applied Data Mining
inferredcites →https://doi.org/10.1007/978-94-009-0513-9_4openalex-snapshot
Population Genetics Theory - The Past and the Future
inferredcites →https://doi.org/10.1007/s00778-006-0007-0openalex-snapshot
Efficient multivariate data-oriented microaggregation
inferredcites →https://doi.org/10.1007/s00778-014-0351-4openalex-snapshot
Enhancing data utility in differential privacy via microaggregation-based $$k$$ k -anonymity
inferredcites →https://doi.org/10.1007/s10618-007-0078-6openalex-snapshot
A recursive search algorithm for statistical disclosure assessment
inferredcites →https://doi.org/10.1007/s10676-020-09572-wopenalex-snapshot
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment
inferredcites →https://doi.org/10.1007/s10796-010-9270-0openalex-snapshot
Identity matching using personal and social identity features
inferredcites →https://doi.org/10.1007/s11227-018-2390-xopenalex-snapshot
An efficient approach for publishing microdata for multiple sensitive attributes
inferredcites →https://doi.org/10.1016/0377-0427(87)90125-7openalex-snapshot
Silhouettes: A graphical aid to the interpretation and validation of cluster analysis
inferredcites →https://doi.org/10.1016/0378-3758(82)90058-1openalex-snapshot
Data-swapping: A technique for disclosure control
inferredcites →https://doi.org/10.1016/0378-3758(91)90047-iopenalex-snapshot
Optimal noise addition for preserving confidentiality in multivariate data
inferredcites →https://doi.org/10.1016/j.comcom.2019.04.011openalex-snapshot
Privacy-preserving cloud computing on sensitive data: A survey of methods, products and challenges
inferredcites →https://doi.org/10.1016/j.cose.2012.04.003openalex-snapshot
Semantic adaptive microaggregation of categorical microdata
inferredcites →https://doi.org/10.1016/j.cosrev.2021.100403openalex-snapshot
A survey of privacy-preserving mechanisms for heterogeneous data types
inferredcites →https://doi.org/10.1016/j.datak.2007.03.009openalex-snapshot
Thoughts on k-anonymization
inferredcites →https://doi.org/10.1016/j.datak.2007.07.006openalex-snapshot
Rethinking rank swapping to decrease disclosure risk
inferredcites →https://doi.org/10.1016/j.datak.2008.12.001openalex-snapshot
Privacy-preserving data publishing for cluster analysis
inferredcites →https://doi.org/10.1016/j.datak.2011.07.001openalex-snapshot
Information based data anonymization for classification utility
inferredcites →https://doi.org/10.1016/j.dsx.2020.06.063openalex-snapshot
Data Mining and Analysis of Scientific Research Data Records on COVID-19 Mortality, Immunity, and Vaccine Development - In the First Wave of the COVID-19 Pandemic
inferredcites →https://doi.org/10.1016/j.eswa.2010.05.071openalex-snapshot
Comparison of microaggregation approaches on anonymized data quality
inferredcites →https://doi.org/10.1016/j.ins.2010.04.005openalex-snapshot
Hybrid microdata using microaggregation
inferredcites →https://doi.org/10.1016/j.ins.2020.09.069openalex-snapshot
Microaggregation heuristic applied to statistical disclosure control
inferredcites →https://doi.org/10.1016/j.ipm.2021.102572openalex-snapshot
A blockchain empowered and privacy preserving digital contact tracing platform
inferredcites →https://doi.org/10.1016/j.jksuci.2022.12.008openalex-snapshot
Local generalization and bucketization technique for personalized privacy preservation
inferredcites →https://doi.org/10.1016/j.jnca.2018.02.002openalex-snapshot
Location and trajectory privacy preservation in 5G-Enabled vehicle social network services
inferredcites →https://doi.org/10.1016/j.neucom.2019.12.136openalex-snapshot
Generation and evaluation of privacy preserving synthetic health data
inferredcites →https://doi.org/10.1016/j.procs.2012.09.050openalex-snapshot
Towards A Differential Privacy and Utility Preserving Machine Learning Classifier
inferredcites →https://doi.org/10.1016/j.procs.2013.09.295openalex-snapshot
A Comparative Analysis of Data Privacy and Utility Parameter Adjustment, Using Machine Learning Classification as a Gauge
inferredcites →https://doi.org/10.1016/s0377-0427(03)00643-5openalex-snapshot
Disclosure risk assessment in statistical data protection
inferredcites →https://doi.org/10.1016/s1473-3099(20)30635-6openalex-snapshot
A need for open public data standards and sharing in light of COVID-19
inferredcites →https://doi.org/10.1023/a:1007452223027openalex-snapshot
Machine Learning for the Detection of Oil Spills in Satellite Radar Images
inferredcites →https://doi.org/10.1023/a:1025610705286openalex-snapshot
A theoretical basis for perturbation methods
inferredcites →https://doi.org/10.1023/a:1025614806194openalex-snapshot
A rejoinder to the comments by Polettini and Stander
inferredcites →https://doi.org/10.1038/s41467-019-10933-3openalex-snapshot
Estimating the success of re-identifications in incomplete datasets using generative models
inferredcites →https://doi.org/10.1038/s42256-020-0181-6openalex-snapshot
Machine Learning for COVID-19 needs global collaboration and data-sharing
inferredcites →https://doi.org/10.1080/01621459.1969.10501049openalex-snapshot
A Theory for Record Linkage
inferredcites →https://doi.org/10.1080/01621459.1971.10482356openalex-snapshot
Objective Criteria for the Evaluation of Clustering Methods
inferredcites →https://doi.org/10.1080/01621459.1980.10477481openalex-snapshot
Suppression Methodology and Statistical Disclosure Control
inferredcites →https://doi.org/10.1080/01621459.1983.10478008openalex-snapshot
A Method for Comparing Two Hierarchical Clusterings
inferredcites →https://doi.org/10.1080/01621459.1989.10478785openalex-snapshot
Advances in Record-Linkage Methodology as Applied to Matching the 1985 Census of Tampa, Florida
inferredcites →https://doi.org/10.1080/01621459.1990.10475304openalex-snapshot
Disclosure Control of Microdata
inferredcites →https://doi.org/10.1109/69.971193openalex-snapshot
Protecting respondents identities in microdata release
inferredcites →https://doi.org/10.1109/69.979982openalex-snapshot
Practical data-oriented microaggregation for statistical disclosure control
inferredcites →https://doi.org/10.1109/access.2020.2980235openalex-snapshot
A Survey on Privacy Properties for Data Publishing of Relational Data
inferredcites →https://doi.org/10.1109/access.2020.3045700openalex-snapshot
Anonymization Techniques for Privacy Preserving Data Publishing: A Comprehensive Survey
inferredcites →https://doi.org/10.1109/bigdata47090.2019.9005476openalex-snapshot
Utility and Privacy Assessments of Synthetic Data for Regression Tasks
inferredcites →https://doi.org/10.1109/csf.2018.00027openalex-snapshot
Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting
inferredcites →https://doi.org/10.1109/eurosp51992.2021.00025openalex-snapshot
On the (In)Feasibility of Attribute Inference Attacks on Machine Learning Models
inferredcites →https://doi.org/10.1109/icde.2005.143openalex-snapshot
Top-Down Specialization for Information and Privacy Preservation
inferredcites →https://doi.org/10.1109/icde.2005.42openalex-snapshot
Data Privacy through Optimal k-Anonymization
inferredcites →https://doi.org/10.1109/icde.2006.101openalex-snapshot
Mondrian Multidimensional K-Anonymity
inferredcites →https://doi.org/10.1109/icde.2007.367856openalex-snapshot
t-Closeness: Privacy Beyond k-Anonymity and l-Diversity
inferredcites →https://doi.org/10.1109/icde.2007.367857openalex-snapshot
Aggregate Query Answering on Anonymized Tables
inferredcites →https://doi.org/10.1109/icde.2008.4497436openalex-snapshot
Privacy: Theory meets Practice on the Map
inferredcites →https://doi.org/10.1109/icde.2009.19openalex-snapshot
Using Anonymized Data for Classification
inferredcites →https://doi.org/10.1109/icdew.2006.116openalex-snapshot
Privacy Protection: p-Sensitive k-Anonymity Property
inferredcites →https://doi.org/10.1109/icdm.2004.10110openalex-snapshot
Bottom-Up Generalization: A Data Mining Solution to Privacy Protection
inferredcites →https://doi.org/10.1109/icmlc.2017.8108955openalex-snapshot
An anonymization method combining anatomy and permutation for protecting privacy in microdata with multiple sensitive attributes
inferredcites →https://doi.org/10.1109/icpads47876.2019.00150openalex-snapshot
PPGAN: Privacy-Preserving Generative Adversarial Network
inferredcites →https://doi.org/10.1109/isi.2008.4565028openalex-snapshot
A framework for privacy-preserving cluster analysis
inferredcites →https://doi.org/10.1109/ispacs.2017.8266478openalex-snapshot
Research progress of anonymous data release
inferredcites →https://doi.org/10.1109/smc42975.2020.9283102openalex-snapshot
Towards Distributed Privacy-Preserving Prediction
inferredcites →https://doi.org/10.1109/sp.2008.33openalex-snapshot
Robust De-anonymization of Large Sparse Datasets
inferredcites →https://doi.org/10.1109/tkde.2003.1209020openalex-snapshot
A polynomial algorithm for optimal univariate microaggregation
inferredcites →https://doi.org/10.1109/tkde.2005.112openalex-snapshot
Minimum spanning tree partitioning algorithm for microaggregation
inferredcites →https://doi.org/10.1109/tkde.2009.65openalex-snapshot
ANGEL: Enhancing the Utility of Generalization for Privacy Preserving Publication
inferredcites →https://doi.org/10.1109/tkde.2009.78openalex-snapshot
Approximation Bounds for Minimum Information Loss Microaggregation
inferredcites →https://doi.org/10.1109/tkde.2010.236openalex-snapshot
Slicing: A New Approach for Privacy Preserving Data Publishing
inferredcites →https://doi.org/10.1109/tkde.2017.2773069openalex-snapshot
Cross-Bucket Generalization for Information and Privacy Preservation
inferredcites →https://doi.org/10.1109/tpami.1979.4766909openalex-snapshot
A Cluster Separation Measure
inferredcites →https://doi.org/10.1111/1467-9868.00365openalex-snapshot
A Measure of Disclosure Risk for Microdata
inferredcites →https://doi.org/10.1111/j.1751-5823.2009.00079.xopenalex-snapshot
Disclosure Control of Business Microdata: A Density‐Based Approach
inferredcites →https://doi.org/10.1137/21m1449944openalex-snapshot
Private Sampling: A Noiseless Approach for Generating Differentially Private Synthetic Data
inferredcites →https://doi.org/10.1142/s0218488502001594openalex-snapshot
ON THE SECURITY OF MICROAGGREGATION WITH INDIVIDUAL RANKING: ANALYTICAL ATTACKS
inferredcites →https://doi.org/10.1142/s0218488502001600openalex-snapshot
A COMPUTATIONAL ALGORITHM FOR HANDLING THE SPECIAL UNIQUES PROBLEM
inferredcites →https://doi.org/10.1142/s0218488502001648openalex-snapshot
k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY
inferredcites →https://doi.org/10.1142/s0218488502001661openalex-snapshot
RE-IDENTIFYING REGISTER DATA BY SURVEY DATA USING CLUSTER ANALYSIS: AN EMPIRICAL STUDY
inferredcites →https://doi.org/10.1145/1142473.1142499openalex-snapshot
Injecting utility into anonymized datasets
inferredcites →https://doi.org/10.1145/1150402.1150449openalex-snapshot
Anonymizing sequential releases
inferredcites →https://doi.org/10.1145/1150402.1150504openalex-snapshot
Utility-based anonymization using local recoding
inferredcites →https://doi.org/10.1145/1247480.1247554openalex-snapshot
Hiding the presence of individuals from shared databases
inferredcites →https://doi.org/10.1145/1557019.1557079openalex-snapshot
On the tradeoff between privacy and utility in data publishing
inferredcites →https://doi.org/10.1145/1749603.1749605openalex-snapshot
Privacy-preserving data publishing
inferredcites →https://doi.org/10.1145/1857947.1857950openalex-snapshot
Centralized and Distributed Anonymization for High-Dimensional Healthcare Data
inferredcites →https://doi.org/10.1145/3287560.3287596openalex-snapshot
Model Cards for Model Reporting
inferredcites →https://doi.org/10.1145/3289430.3289435openalex-snapshot
An Evaluation of Anonymized Models and Ensemble Classifiers
inferredcites →https://doi.org/10.1145/3339252.3339281openalex-snapshot
On the Utility of Synthetic Data
inferredcites →https://doi.org/10.1145/3547139openalex-snapshot
A Critical Review on the Use (and Misuse) of Differential Privacy in Machine Learning
inferredcites →https://doi.org/10.1145/356546.356548openalex-snapshot
Computers and Privacy: A Survey
inferredcites →https://doi.org/10.1145/76894.76895openalex-snapshot
Security-control methods for statistical databases: a comparative study
inferredcites →https://doi.org/10.1145/775047.775089openalex-snapshot
Transforming data to satisfy privacy constraints
inferredcites →https://doi.org/10.1155/2020/8892954openalex-snapshot
A Dynamic Privacy Protection Mechanism for Spatiotemporal Crowdsourcing
inferredcites →https://doi.org/10.1161/circoutcomes.118.005122openalex-snapshot
Privacy-Preserving Generative Deep Neural Networks Support Clinical Data Sharing
inferredcites →https://doi.org/10.11648/j.ajdmkd.20170202.13openalex-snapshot
Efficient Anonymization Algorithms to Prevent Generalized Losses and Membership Disclosure in Microdata
inferredcites →https://doi.org/10.1184/r1/6625769openalex-snapshot
Simple Demographics Often Identify People Uniquely
inferredcites →https://doi.org/10.1186/1472-6947-12-66openalex-snapshot
Estimating the re-identification risk of clinical data sets
inferredcites →https://doi.org/10.1186/s40064-016-2490-0openalex-snapshot
Anatomisation with slicing: a new privacy preservation approach for multiple sensitive attributes
inferredcites →https://doi.org/10.1197/jamia.m1241openalex-snapshot
Effects of Data Anonymization by Cell Suppression on Descriptive Statistics and Predictive Modeling Performance
inferredcites →https://doi.org/10.1197/jamia.m2716openalex-snapshot
Protecting Privacy Using k-Anonymity
inferredcites →https://doi.org/10.1198/016214505000000619openalex-snapshot
Estimating Risks of Identification Disclosure in Microdata
inferredcites →https://doi.org/10.1214/11-ss074openalex-snapshot
Data confidentiality: A review of methods for statistical disclosure limitation and methods for assessing privacy
inferredcites →https://doi.org/10.1214/aoms/1177729694openalex-snapshot
On Information and Sufficiency
inferredcites →https://doi.org/10.1287/mnsc.1050.0503openalex-snapshot
Data Shuffling—A New Masking Approach for Numerical Data
inferredcites →https://doi.org/10.13140/2.1.4629.2482openalex-snapshot
Utilizing Noise Addition for Data Privacy, an Overview
inferredcites →https://doi.org/10.1371/journal.pone.0190200openalex-snapshot
Discerning suicide in drug intoxication deaths: Paucity and primacy of suicide notes and psychiatric history
inferredcites →https://doi.org/10.1371/journal.pone.0252169openalex-snapshot
Fundamental privacy rights in a pandemic state
inferredcites →https://doi.org/10.14778/2350229.2350255openalex-snapshot
Publishing microdata with a robust privacy guarantee
inferredcites →https://doi.org/10.1613/jair.953openalex-snapshot
SMOTE: Synthetic Minority Over-sampling Technique
inferredcites →https://doi.org/10.18637/jss.v067.i04openalex-snapshot
Statistical Disclosure Control for Microdata Using the R-Package sdcMicro
inferredcites →https://doi.org/10.2196/18910openalex-snapshot
Reliability of Supervised Machine Learning Using Synthetic Data in Health Care: Model to Preserve Privacy for Data Sharing
inferredcites →https://doi.org/10.2200/s00690ed1v01y201512spt015openalex-snapshot
Database Anonymization: Privacy Models, Data Utility, and Microaggregation-based Inter-model Connections
inferredcites →https://doi.org/10.3138/cpp.2020-026openalex-snapshot
Remote Work and Employment Dynamics under COVID-19: Evidence from Canada
inferredcites →https://doi.org/10.3233/sji-2009-0706openalex-snapshot
UK release practices for official microdata
inferredcites →https://doi.org/10.3389/fpubh.2020.00305openalex-snapshot
Too Much Information: Assessing Privacy Risks of Contact Trace Data Disclosure on People With COVID-19 in South Korea
inferredcites →https://doi.org/10.3390/app11052158openalex-snapshot
Fake It Till You Make It: Guidelines for Effective Synthetic Data Generation
inferredcites →https://doi.org/10.3390/info10120362openalex-snapshot
Privacy Preserving Data Publishing with Multiple Sensitive Attributes based on Overlapped Slicing
inferredcites →https://doi.org/10.3390/math10152733openalex-snapshot
Survey on Synthetic Data Generation, Evaluation Methods and GANs
inferredcites →https://doi.org/10.3414/me16-01-0012openalex-snapshot
The Importance of Context: Risk-based De-identification of Biomedical Data
inferredcites →https://doi.org/10.4018/jdm.2003040102openalex-snapshot
Protecting Data through Perturbation Techniques
inferredcites →https://doi.org/10.4304/jsw.8.12.3096-3104openalex-snapshot
SLOMS: A Privacy Preserving Data Publishing Method for Multiple Sensitive Attributes Microdata
inferredcites →https://doi.org/10.48550/arxiv.1012.4763openalex-snapshot
A simple and practical algorithm for differentially private data release
inferredcites →https://doi.org/10.48550/arxiv.1802.06739openalex-snapshot
Differentially Private Generative Adversarial Network
inferredcites →https://doi.org/10.48550/arxiv.1901.00716openalex-snapshot
Improving Suppression to Reduce Disclosure Risk and Enhance Data Utility
inferredcites →https://doi.org/10.48550/arxiv.2011.05537openalex-snapshot
Differentially Private Synthetic Data: Applied Evaluations and Enhancements
inferredcites →https://doi.org/10.48550/arxiv.2101.09834openalex-snapshot
Privacy Preserving Techniques Applied to CPNI Data: Analysis and Recommendations
inferredcites →https://doi.org/10.48550/arxiv.2108.10064openalex-snapshot
Effective and Privacy preserving Tabular Data Synthesizing
inferredcites →https://doi.org/10.48550/arxiv.2110.05524openalex-snapshot
Generalization Techniques Empirically Outperform Differential Privacy against Membership Inference
inferredcites →https://doi.org/10.5040/9781526514240.chapter-007openalex-snapshot
European Data Protection Supervisor
inferredcites →https://doi.org/10.5753/jidm.2010.940openalex-snapshot
Privacy Preserving Clustering by Data Transformation
inferredcites →https://doi.org/10.7763/ijcte.2015.v7.924openalex-snapshot
Measuring Information Quality for Privacy Preserving Data Mining
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-49008-8_5openalex-snapshot
A Three-Way Knot: Privacy, Fairness, and Predictive Performance Dynamics
inferred← citeshttps://doi.org/10.1007/978-3-031-69651-0_16openalex-snapshot
Synthetic Data Outliers: Navigating Identity Disclosure
inferred← citeshttps://doi.org/10.1007/978-3-031-69651-0_25openalex-snapshot
Assessing the Potentials of LLMs and GANs as State-of-the-Art Tabular Synthetic Data Generation Methods
inferred← citeshttps://doi.org/10.1007/s00170-026-18585-6openalex-snapshot
Reverse engineering of part geometries and machining process parameters from CNC machining time series measurements
inferred← citeshttps://doi.org/10.1007/s10994-025-06799-wopenalex-snapshot
Differentially-private data synthetisation for efficient re-identification risk control
inferred← citeshttps://doi.org/10.1007/s41060-026-01144-3openalex-snapshot
Quality metrics for Privacy-Preserving Data Mining: a systematic review, phase-based classification, and critical synthesis
inferred← citeshttps://doi.org/10.1016/j.inffus.2025.103893openalex-snapshot
Automated privacy-preserving techniques via meta-learning
inferred← citeshttps://doi.org/10.1016/j.jnca.2024.103951openalex-snapshot
Privacy-preserving generation and publication of synthetic trajectory microdata: A comprehensive survey
inferred← citeshttps://doi.org/10.1016/j.knosys.2024.112476openalex-snapshot
FedGKD: Federated Graph Knowledge Distillation for privacy-preserving rumor detection
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.132367openalex-snapshot
Multi-view social network alignment with comprehensive disparity alleviation
inferred← citeshttps://doi.org/10.1038/s41597-025-04506-xopenalex-snapshot
Empowering open data sharing for social good: a privacy-aware approach
inferred← citeshttps://doi.org/10.1080/00207721.2024.2343734openalex-snapshot
A survey on privacy-preserving control and filtering of networked control systems
inferred← citeshttps://doi.org/10.1109/access.2025.3537109openalex-snapshot
Solving Truthfulness-Privacy Trade-Off in Mixed Data Outsourcing by Using Data Balancing and Attribute Correlation-Aware Differential Privacy
inferred← citeshttps://doi.org/10.1109/access.2025.3540878openalex-snapshot
Privacy-Preserving Tools and Technologies: Government Adoption and Challenges
inferred← citeshttps://doi.org/10.1109/access.2025.3541295openalex-snapshot
Trans-Border Trusted Data Spaces: A General Framework Supporting Trustworthy International Data Circulation
inferred← citeshttps://doi.org/10.1109/comst.2024.3519861openalex-snapshot
Characterization and Quantification of User Privacy: Key Challenges, Regulations, and Future Directions
inferred← citeshttps://doi.org/10.1109/iot69654.2025.11297691openalex-snapshot
Privacy-Preserving Data Anonymization for IoT: A Strategy Selection Framework
inferred← citeshttps://doi.org/10.1109/tkde.2026.3673144openalex-snapshot
A Sensitivity-Aware and PSO-Driven Differential Privacy Method With Customized Budgets for Structured Data Perturbation
inferred← citeshttps://doi.org/10.1109/tpami.2025.3546334openalex-snapshot
Attack as Defense: Proactive Adversarial Multi-Modal Learning to Evade Retrieval
inferred← citeshttps://doi.org/10.1109/tsc.2025.3609875openalex-snapshot
Distributed Bandit-Based Cooperative Coevolution for Large-Scale Multi-Objective Data Publishing
inferred← citeshttps://doi.org/10.1145/3639592.3639621openalex-snapshot
Anonymization Techniques for Privacy Preservation in eLearning
inferred← citeshttps://doi.org/10.1145/3658644.3690270openalex-snapshot
A Qualitative Analysis of Practical De-Identification Guides
inferred← citeshttps://doi.org/10.1145/3698322.3698337openalex-snapshot
Patterns of Data Anonymization
inferred← citeshttps://doi.org/10.1145/3773365.3773645openalex-snapshot
Analysis of optimal privacy protection mechanism based on IT-MPD
inferred← citeshttps://doi.org/10.1145/3807503.3819457openalex-snapshot
AE-AEPD: Repurposing Adversarial Evasion for Cross-Omics Linkage Defense
inferred← citeshttps://doi.org/10.12677/ecl.2025.14103335openalex-snapshot
Research on User Profile Construction and Queuing Optimization for E-Commerce Logistics Transport Vehicles Based on LLM—AI + System Optimization and Data Intelligence Integration: Driving E-Commerce Logistics Research and Practice Models
inferred← citeshttps://doi.org/10.3390/app14199030openalex-snapshot
Applying Deep Generative Neural Networks to Data Augmentation for Consumer Survey Data with a Small Sample Size
inferred← citeshttps://doi.org/10.3390/e28101054openalex-snapshot
Distortion-Constrained Minimax Data Sanitization with Multiple Adversaries
inferred← citeshttps://doi.org/10.3390/s26175456openalex-snapshot
Differential Privacy-Based Location and Trajectory Data Protection for Utility-Preserving Location-Based Services
inferred← citeshttps://doi.org/10.36227/techrxiv.170619300.02350996/v1openalex-snapshot
Achieving k-anonymity of a large-scale database in a distributed memory environment
inferred← citeshttps://doi.org/10.36930/40360310openalex-snapshot
Impact of k-anonymity on machine learning model performance: an empirical study
inferred← citeshttps://doi.org/10.5753/sbseg.2025.10653openalex-snapshot
Metodologia para publicação de dados com preservação da privacidade para órgãos públicos: de maneira proativa e solicitada
inferred← citeshttps://doi.org/10.66224/jsdp.22.3.35openalex-snapshot
A Novel Privacy-Preserving Distributed Data Publishing Protocol Based on Probabilistic Models
inferred← citeshttps://doi.org/10.70675/3489e7d0zcb01z432ezb5d0z825c122d3b74openalex-snapshot
Detecting inference attacks involving sensor data
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