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Privacy preserving classification over differentially private data
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/cpe.5607openalex-snapshot
Heterogeneous differential privacy for vertically partitioned databases
inferredcites →https://doi.org/10.1007/11681878_14openalex-snapshot
Calibrating Noise to Sensitivity in Private Data Analysis
inferredcites →https://doi.org/10.1007/978-3-319-67786-6_6openalex-snapshot
Differentially Private Empirical Risk Minimization with Input Perturbation
inferredcites →https://doi.org/10.1007/978-3-540-30116-5_27openalex-snapshot
Privately Computing a Distributed k-nn Classifier
inferredcites →https://doi.org/10.1007/978-3-540-79228-4_1openalex-snapshot
Differential Privacy: A Survey of Results
inferredcites →https://doi.org/10.1007/978-981-13-1927-3_51openalex-snapshot
Privacy Preserving Data Clustering Using a Heterogeneous Data Distortion
inferredcites →https://doi.org/10.1007/bf00153759openalex-snapshot
Instance-Based Learning Algorithms
inferredcites →https://doi.org/10.1007/s00145-001-0019-2openalex-snapshot
Privacy Preserving Data Mining
inferredcites →https://doi.org/10.1007/s10618-017-0532-zopenalex-snapshot
Differentially private nearest neighbor classification
inferredcites →https://doi.org/10.1016/b978-1-55860-377-6.50022-0openalex-snapshot
K*: An Instance-based Learner Using an Entropic Distance Measure
inferredcites →https://doi.org/10.1016/b978-1-55860-377-6.50023-2openalex-snapshot
Fast Effective Rule Induction
inferredcites →https://doi.org/10.1016/j.datak.2007.03.015openalex-snapshot
Privacy preserving clustering on horizontally partitioned data
inferredcites →https://doi.org/10.1016/j.datak.2007.06.011openalex-snapshot
The applicability of the perturbation based privacy preserving data mining for real-world data
inferredcites →https://doi.org/10.1016/j.engappai.2020.103813openalex-snapshot
Differentially private 1R classification algorithm using artificial bee colony and differential evolution
inferredcites →https://doi.org/10.1016/j.eswa.2017.01.034openalex-snapshot
Differentially private random decision forests using smooth sensitivity
inferredcites →https://doi.org/10.1016/j.inffus.2015.11.002openalex-snapshot
Utility-preserving differentially private data releases via individual ranking microaggregation
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/10.1023/a:1022631118932openalex-snapshot
Very Simple Classification Rules Perform Well on Most Commonly Used Datasets
inferredcites →https://doi.org/10.1109/69.971193openalex-snapshot
Protecting respondents identities in microdata release
inferredcites →https://doi.org/10.1109/access.2019.2929680openalex-snapshot
A Differential Privacy Support Vector Machine Classifier Based on Dual Variable Perturbation
inferredcites →https://doi.org/10.1109/hicss.2009.353openalex-snapshot
Privacy Preserving Decision Tree Mining from Perturbed Data
inferredcites →https://doi.org/10.1109/icacci.2014.6968348openalex-snapshot
Differential private random forest
inferredcites →https://doi.org/10.1109/icde.2019.00097openalex-snapshot
When Geo-Text Meets Security: Privacy-Preserving Boolean Spatial Keyword Queries
inferredcites →https://doi.org/10.1109/icde48307.2020.00029openalex-snapshot
SVkNN: Efficient Secure and Verifiable k-Nearest Neighbor Query on the Cloud Platform
inferredcites →https://doi.org/10.1109/icdm.2015.76openalex-snapshot
Differentially Private Random Forest with High Utility
inferredcites →https://doi.org/10.1109/icdmw.2009.93openalex-snapshot
A Practical Differentially Private Random Decision Tree Classifier
inferredcites →https://doi.org/10.1109/icdmw.2013.131openalex-snapshot
A Semi-Supervised Learning Approach to Differential Privacy
inferredcites →https://doi.org/10.1109/msp.2013.2259911openalex-snapshot
Signal Processing and Machine Learning with Differential Privacy: Algorithms and Challenges for Continuous Data
inferredcites →https://doi.org/10.1109/tkde.2009.175openalex-snapshot
Decision Trees for Uncertain Data
inferredcites →https://doi.org/10.1109/wi-iat.2013.80openalex-snapshot
Differentially Private Naive Bayes Classification
inferredcites →https://doi.org/10.1145/1835804.1835868openalex-snapshot
Data mining with differential privacy
inferredcites →https://doi.org/10.1145/2857705.2857708openalex-snapshot
Differentially Private K-Means Clustering
inferredcites →https://doi.org/10.1145/3337064openalex-snapshot
Decision Tree Classification with Differential Privacy
inferredcites →https://doi.org/10.1145/76894.76895openalex-snapshot
Security-control methods for statistical databases: a comparative study
inferredcites →https://doi.org/10.1155/2019/8694678openalex-snapshot
Image Encryption with Double Spiral Scans and Chaotic Maps
inferredcites →https://doi.org/10.1155/2019/9169802openalex-snapshot
Laplace Input and Output Perturbation for Differentially Private Principal Components Analysis
inferredcites →https://doi.org/10.1561/0400000042openalex-snapshot
The Algorithmic Foundations of Differential Privacy
inferredcites →https://doi.org/10.2307/1573081openalex-snapshot
Pattern Classification and Scene Analysis
inferredcites →https://doi.org/10.2307/2965591openalex-snapshot
An Introduction to Bayesian Networks.
inferredcites →https://doi.org/10.3390/make1010029openalex-snapshot
Differentially Private Image Classification Using Support Vector Machine and Differential Privacy
inferredcites →https://doi.org/10.48550/arxiv.0912.0071openalex-snapshot
Differentially Private Empirical Risk Minimization
inferredcites →https://doi.org/10.48550/arxiv.1410.6973openalex-snapshot
Differentially- and non-differentially-private random decision trees
inferredcites →https://doi.org/10.52202/085713openalex-snapshot
Advances in Neural Information Processing Systems 19
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-030-89691-1_28openalex-snapshot
A Survey on the Methods to Determine the Sensitivity of Textual Documents: Solutions and Problems to Solve
inferred← citeshttps://doi.org/10.1007/978-3-030-89820-5_11openalex-snapshot
STClass: A Method for Determining the Sensitivity of Documents
inferred← citeshttps://doi.org/10.1007/s10115-026-02689-2openalex-snapshot
Multi-interval monotonic data transformation for privacy-preserving data mining in rule-based classification
inferred← citeshttps://doi.org/10.1007/s40747-025-01911-yopenalex-snapshot
Complexity analysis and practical resolution of the data classification problem with private characteristics
inferred← citeshttps://doi.org/10.1016/j.cose.2022.102630openalex-snapshot
Privacy-preserving Naive Bayes classification in semi-fully distributed data model
inferred← citeshttps://doi.org/10.1016/j.ecoinf.2025.103237openalex-snapshot
Assessment of pan coefficient performance: A comparative study of empirical and model-driven approaches using a hill-climbing-based alternating model tree and MOORA
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.119785openalex-snapshot
Towards a data privacy-predictive performance trade-off
inferred← citeshttps://doi.org/10.1016/j.jisa.2022.103215openalex-snapshot
An efficient and practical approach for privacy-preserving Naive Bayes classification
inferred← citeshttps://doi.org/10.1016/j.mex.2025.103317openalex-snapshot
Mining privacy-preserving association rules using transaction hewer allocator and facile hash algorithm in multi-cloud environments
inferred← citeshttps://doi.org/10.1109/tetc.2024.3443060openalex-snapshot
DP-PartFIM: Frequent Itemset Mining Using Differential Privacy and Partition
inferred← citeshttps://doi.org/10.1145/3588765openalex-snapshot
Survey on Privacy-Preserving Techniques for Microdata Publication
inferred← citeshttps://doi.org/10.1145/3653081.3653098openalex-snapshot
Research on privacy protection scheme based on data fuzzy processing
inferred← citeshttps://doi.org/10.1515/jisys-2022-0215openalex-snapshot
Data analysis with performance and privacy enhanced classification
inferred← citeshttps://doi.org/10.3233/jifs-234441openalex-snapshot
RETRACTED: Privacy-preserving intrusion detection in Internet of medical things neural networks using a novel recurrent U-Net auto-encoder algorithm for biomedical applications
inferred← citeshttps://doi.org/10.32604/csse.2023.029074openalex-snapshot
Hybrid Approach for Privacy Enhancement in Data Mining Using Arbitrariness and Perturbation
inferred← citeshttps://doi.org/10.32604/iasc.2022.024509openalex-snapshot
Preserving Data Confidentiality in Association Rule Mining Using Data Share Allocator Algorithm
inferred← citeshttps://doi.org/10.3390/electronics14091837openalex-snapshot
Evaluating the Performance of DenseNet in ECG Report Automation
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