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Enabling Multilevel Trust in Privacy Preserving Data Mining
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11535218_15openalex-snapshot
Privacy-Preserving Set Operations
inferredcites →https://doi.org/10.1007/11844662_4openalex-snapshot
Secure Anonymization for Incremental Datasets
inferredcites →https://doi.org/10.1007/3-540-44598-6_3openalex-snapshot
Privacy Preserving Data Mining
inferredcites →https://doi.org/10.1007/978-0-387-70992-5_18openalex-snapshot
Privacy and the Dimensionality Curse
inferredcites →https://doi.org/10.1007/978-0-387-70992-5_19openalex-snapshot
Personalized Privacy Preservation
inferredcites →https://doi.org/10.1007/978-1-4419-1270-1_2openalex-snapshot
Multivariate Normal Distribution
inferredcites →https://doi.org/10.1007/978-1-4419-5906-5_1332openalex-snapshot
Secure Multiparty Computation
inferredcites →https://doi.org/10.1007/978-3-540-24676-3_1openalex-snapshot
Efficient Private Matching and Set Intersection
inferredcites →https://doi.org/10.1007/978-3-540-24741-8_12openalex-snapshot
A Condensation Approach to Privacy Preserving Data Mining
inferredcites →https://doi.org/10.1109/icde.2005.111openalex-snapshot
Privacy and Ownership Preserving of Outsourced Medical Data
inferredcites →https://doi.org/10.1109/icde.2006.1openalex-snapshot
L-diversity: privacy beyond k-anonymity
inferredcites →https://doi.org/10.1109/icde.2007.367914openalex-snapshot
Hiding in the Crowd: Privacy Preservation on Evolving Streams through Correlation Tracking
inferredcites →https://doi.org/10.1109/icdm.2003.1250908openalex-snapshot
On the privacy preserving properties of random data perturbation techniques
inferredcites →https://doi.org/10.1109/icdm.2005.121openalex-snapshot
Privacy Preserving Data Classification with Rotation Perturbation
inferredcites →https://doi.org/10.1109/icdm.2005.122openalex-snapshot
Privacy-Preserving Frequent Pattern Mining across Private Databases
inferredcites →https://doi.org/10.1109/icdm.2008.118openalex-snapshot
Inference Analysis in Privacy-Preserving Data Re-publishing
inferredcites →https://doi.org/10.1109/ride.2002.995109openalex-snapshot
Privacy preserving association rule mining
inferredcites →https://doi.org/10.1109/tcs.1978.1084534openalex-snapshot
Kronecker products and matrix calculus in system theory
inferredcites →https://doi.org/10.1109/tkde.2006.14openalex-snapshot
Random projection-based multiplicative data perturbation for privacy preserving distributed data mining
inferredcites →https://doi.org/10.1109/tkde.2011.124openalex-snapshot
Enabling Multilevel Trust in Privacy Preserving Data Mining
inferredcites →https://doi.org/10.1142/s0218488502001648openalex-snapshot
k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY
inferredcites →https://doi.org/10.1145/1066157.1066163openalex-snapshot
Deriving private information from randomized data
inferredcites →https://doi.org/10.1145/1140402.1140404openalex-snapshot
Using secure coprocessors for privacy preserving collaborative data mining and analysis
inferredcites →https://doi.org/10.1145/1142473.1142499openalex-snapshot
Injecting utility into anonymized datasets
inferredcites →https://doi.org/10.1145/1142473.1142500openalex-snapshot
Personalized privacy preservation
inferredcites →https://doi.org/10.1145/1353343.1353378openalex-snapshot
Anonymity for continuous data publishing
inferredcites →https://doi.org/10.1145/336992.337012openalex-snapshot
Enhancing privacy and trust in electronic communities
inferredcites →https://doi.org/10.1145/375551.375602openalex-snapshot
On the design and quantification of privacy preserving data mining algorithms
inferredcites →https://doi.org/10.1145/772862.772867openalex-snapshot
Tools for privacy preserving distributed data mining
inferredcites →https://doi.org/10.1145/773153.773174openalex-snapshot
Limiting privacy breaches in privacy preserving data mining
inferredcites →https://doi.org/10.1145/775047.775080openalex-snapshot
Privacy preserving mining of association rules
inferredcites →https://doi.org/10.1145/775047.775142openalex-snapshot
Privacy preserving association rule mining in vertically partitioned data
inferredcites →https://doi.org/10.1145/775079.775080openalex-snapshot
Privacy preserving mining of association rules
inferredcites →https://doi.org/10.1145/872757.872771openalex-snapshot
Information sharing across private databases
inferredcites →https://doi.org/10.1145/956750.956776openalex-snapshot
Privacy-preserving k -means clustering over vertically partitioned data
inferredcites →https://doi.org/10.1145/956750.956810openalex-snapshot
Using randomized response techniques for privacy-preserving data mining
inferredcites →https://doi.org/10.1145/956804.956810openalex-snapshot
Using randomized response techniques for privacy-preserving data mining
inferredcites →https://doi.org/10.14778/1453856.1453949openalex-snapshot
Output perturbation with query relaxation
inferredcites →https://doi.org/10.14778/1687627.1687719openalex-snapshot
Optimal random perturbation at multiple privacy levels
inferredcites →https://doi.org/10.2307/2317055openalex-snapshot
The Art of Computer Programming. Volume 2: Seminumerical Algorithms.
inferredcites →https://doi.org/10.4018/978-1-5225-2915-6.ch013openalex-snapshot
Secure Multiparty Computation
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/widm.1216openalex-snapshot
Data mining in distributed environment: a survey
inferred← citeshttps://doi.org/10.1007/978-3-031-36570-6_1openalex-snapshot
A Survey of Machine Learning Methodologies for Loan Evaluation in Peer-to-Peer (P2P) Lending
inferred← citeshttps://doi.org/10.1007/978-3-031-79453-7openalex-snapshot
Semantics in Mobile Sensing
inferred← citeshttps://doi.org/10.1007/978-3-031-96653-8_5openalex-snapshot
Construction of Digital Twins Model for Logistics Finance
inferred← citeshttps://doi.org/10.1007/978-3-319-40253-6_9openalex-snapshot
Towards Privacy-Preserving Data Mining in Online Social Networks: Distance-Grained and Item-Grained Differential Privacy
inferred← citeshttps://doi.org/10.1007/978-3-319-65930-5_32openalex-snapshot
Using Homomorphic Encryption to Compute Privacy Preserving Data Mining in a Cloud Computing Environment
inferred← citeshttps://doi.org/10.1007/978-3-319-76451-1_15openalex-snapshot
A Noise Generation Scheme Based on Huffman Coding for Preserving Privacy
inferred← citeshttps://doi.org/10.1007/978-3-319-78461-8openalex-snapshot
Data-Driven Policy Impact Evaluation : How Access to Microdata is Transforming Policy Design
inferred← citeshttps://doi.org/10.1007/978-3-319-78461-8_5openalex-snapshot
Privacy in Microdata Release: Challenges, Techniques, and Approaches
inferred← citeshttps://doi.org/10.1007/978-981-13-5913-2_21openalex-snapshot
Two Anti-quantum Attack Protocols for Secure Multiparty Computation
inferred← citeshttps://doi.org/10.1007/978-981-96-3725-6_31openalex-snapshot
A Study on Privacy Preserving Data Mining Techniques
inferred← citeshttps://doi.org/10.1007/978-981-96-3728-7_3openalex-snapshot
A Study on Privacy Preserving Data Mining Techniques
inferred← citeshttps://doi.org/10.1007/s10586-014-0393-9openalex-snapshot
Privacy preserving sub-feature selection based on fuzzy probabilities
inferred← citeshttps://doi.org/10.1007/s10796-018-9856-5openalex-snapshot
Breaking the Privacy Kill Chain: Protecting Individual and Group Privacy Online
inferred← citeshttps://doi.org/10.1007/s10916-015-0305-4openalex-snapshot
A Novel Anti-classification Approach for Knowledge Protection
inferred← citeshttps://doi.org/10.1007/s12046-015-0412-4openalex-snapshot
Attribute association based privacy preservation for multi trust level environment
inferred← citeshttps://doi.org/10.1016/j.asoc.2015.06.060openalex-snapshot
Privacy preserving sub-feature selection in distributed data mining
inferred← citeshttps://doi.org/10.1016/j.cose.2019.03.008openalex-snapshot
Privacy preserving frequent itemset mining: Maximizing data utility based on database reconstruction
inferred← citeshttps://doi.org/10.1016/j.eswa.2014.08.037openalex-snapshot
A fast perturbation algorithm using tree structure for privacy preserving utility mining
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.121071openalex-snapshot
No more privacy Concern: A privacy-chain based homomorphic encryption scheme and statistical method for privacy preservation of user’s private and sensitive data
inferred← citeshttps://doi.org/10.1016/j.hcc.2022.100049openalex-snapshot
Differentially private data publication with multi‐level data utility
inferred← citeshttps://doi.org/10.1016/j.procs.2020.03.060openalex-snapshot
A perspective on categorizing Personal and Sensitive Data and the analysis of practical protection regulations
inferred← citeshttps://doi.org/10.1016/s1005-8885(14)60289-2openalex-snapshot
Background knowledge based privacy metric model for online social networks
inferred← citeshttps://doi.org/10.1049/iet-ifs.2015.0545openalex-snapshot
Privacy preserving big data mining: association rule hiding using fuzzy logic approach
inferred← citeshttps://doi.org/10.1093/police/paag013openalex-snapshot
Trust in government and citizens’ willingness to share personal information for crime prevention: the roles of procedural justice and privacy concerns
inferred← citeshttps://doi.org/10.1109/access.2024.3430863openalex-snapshot
MPLDP: Multi-Level Personalized Local Differential Privacy Method
inferred← citeshttps://doi.org/10.1109/cdan.2016.7570874openalex-snapshot
A survey on privacy preserving mining implementing techniques
inferred← citeshttps://doi.org/10.1109/chinacom.2013.6694636openalex-snapshot
Content knowledge based privacy estimation model for anonymous OSN data publishing
inferred← citeshttps://doi.org/10.1109/cit.2014.135openalex-snapshot
A Review on Privacy-Preserving Data Mining
inferred← citeshttps://doi.org/10.1109/csnt48778.2020.9115771openalex-snapshot
High Dimensional Data Processing in Privacy Preserving Data Mining
inferred← citeshttps://doi.org/10.1109/i-smac.2017.8058289openalex-snapshot
Privacy preservation in SMAC-social networking, mobile network, analytics and cloud computing
inferred← citeshttps://doi.org/10.1109/icacci.2016.7732113openalex-snapshot
Evaluating applicability of perturbation techniques for privacy preserving data mining by descriptive statistics
inferred← citeshttps://doi.org/10.1109/icccnt.2013.6726637openalex-snapshot
Multi-level and multi-key trust in PPDM
inferred← citeshttps://doi.org/10.1109/iccpct.2013.6529007openalex-snapshot
A new model for privacy preserving multiparty collaborative data mining
inferred← citeshttps://doi.org/10.1109/icdmw.2013.31openalex-snapshot
A Study on Privacy Preservation for Multi-user and Multi-granularity
inferred← citeshttps://doi.org/10.1109/icgce.2013.6823542openalex-snapshot
A chaotic based approach for privacy preserving data mining applications with multilevel trust
inferred← citeshttps://doi.org/10.1109/iciccis.2017.8660764openalex-snapshot
Hybrid Approach with Zero Mean Distribution and Randomization for Privacy Preservation Technique
inferred← citeshttps://doi.org/10.1109/jbhi.2014.2344095openalex-snapshot
Systematic Poisoning Attacks on and Defenses for Machine Learning in Healthcare
inferred← citeshttps://doi.org/10.1109/msna.2012.6324604openalex-snapshot
A parallel algorithm PMASK based on privacy-preserving data mining
inferred← citeshttps://doi.org/10.1109/scspw.2016.7509558openalex-snapshot
A smart health application and its related privacy issues
inferred← citeshttps://doi.org/10.1109/tkde.2018.2841360openalex-snapshot
A Utility-Optimized Framework for Personalized Private Histogram Estimation
inferred← citeshttps://doi.org/10.1109/wocn.2012.6335528openalex-snapshot
Shared and secured data partitioning for privacy preserving of collaborative file transfer in multi path computational mining
inferred← citeshttps://doi.org/10.1111/exsy.12663openalex-snapshot
Privacy preservation of data using modified rider optimization algorithm: Optimal data sanitization and restoration model
inferred← citeshttps://doi.org/10.1145/2888451.2888462openalex-snapshot
Feature Creation based Slicing for Privacy Preserving Data Mining
inferred← citeshttps://doi.org/10.1145/2909067.2909097openalex-snapshot
Privacy Preserving Data Mining With Abridge Time Using Vertical Partition Decision Tree
inferred← citeshttps://doi.org/10.1145/2909067.2909098openalex-snapshot
A review of privacy preserving models for multi-party data release framework
inferred← citeshttps://doi.org/10.1145/3281444openalex-snapshot
It Is About What They Could Do with the Data
inferred← citeshttps://doi.org/10.1145/3299869.3300078openalex-snapshot
Towards Model-based Pricing for Machine Learning in a Data Marketplace
inferred← citeshttps://doi.org/10.1145/3341325.3342002openalex-snapshot
Sensitive and Private Data Analysis
inferred← citeshttps://doi.org/10.1145/3626761openalex-snapshot
DProvDB: Differentially Private Query Processing with Multi-Analyst Provenance
inferred← citeshttps://doi.org/10.1155/2013/501607openalex-snapshot
Privacy-Preserving Health Data Collection for Preschool Children
inferred← citeshttps://doi.org/10.12928/telkomnika.v17i6.10064openalex-snapshot
Protecting big data mining association rules using fuzzy system
inferred← citeshttps://doi.org/10.14419/ijet.v7i3.12.16117openalex-snapshot
Logistic Regression and Data Analysis on Privacy Methods on Data Streams
inferred← citeshttps://doi.org/10.14569/ijacsa.2015.061232openalex-snapshot
Association Rule Hiding Techniques for Privacy Preserving Data Mining: A Study
inferred← citeshttps://doi.org/10.14778/3594512.3594519openalex-snapshot
Answering Private Linear Queries Adaptively Using the Common Mechanism
inferred← citeshttps://doi.org/10.1515/cait-2017-0032openalex-snapshot
Effective Gene Patterned Association Rule Hiding Algorithm for Privacy Preserving Data Mining on Transactional Database
inferred← citeshttps://doi.org/10.15680/ijirset.2015.0407044openalex-snapshot
Integration of Partial Information Hiding Technology with Multi-level Trust Privacy Preserving Data Mining
inferred← citeshttps://doi.org/10.17148/ijarcce.2018.71017openalex-snapshot
Privacy Preserving in Data Mining using Bi-party Data Releasing Method
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Anonymization by Data Relocation using Sub-clustering for Privacy Preserving Data Mining
inferred← citeshttps://doi.org/10.17485/ijst/2015/v8i17/77584openalex-snapshot
Attribute Segregation based on Feature Ranking Framework for Privacy Preserving Data Mining
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Social Ant based Sensitive Item Hiding with Optimal Side Effects for Data Publishing
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Exploring Privacy-Preserving Methods via Perturbation Data Mining Employing Diverse Noise Strategies
inferred← citeshttps://doi.org/10.17762/turcomat.v12i5.2102openalex-snapshot
A General Framework Information Loss of Utility-Based Anonymization in Data Publishing
inferred← citeshttps://doi.org/10.18280/isi.240511openalex-snapshot
A Secured Framework to Protect Association Rules in the Big Data Environment Using Fuzzy Logic
inferred← citeshttps://doi.org/10.18486/ijcsnt/8.2.104openalex-snapshot
Privacy Preserving Data Mining Technique - Issues and Challenges
inferred← citeshttps://doi.org/10.19026/rjaset.9.1445openalex-snapshot
Privacy Preserving Data Mining
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Algorithms for String Perturbation
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An Enhanced Privacy Preservation Method Using Data Anonymization with Oppositional Fruit Fly Technique
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A RANDOM PROJECTION APPROACH TO SECURE MEDICAL IMAGES.
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Semantics in Mobile Sensing
inferred← citeshttps://doi.org/10.4018/978-1-5225-0105-3.ch002openalex-snapshot
A New View of Privacy in Social Networks
inferred← citeshttps://doi.org/10.4018/978-1-5225-8897-9.ch025openalex-snapshot
A New View of Privacy in Social Networks
inferred← citeshttps://doi.org/10.5120/20272-2685openalex-snapshot
Implementation of Multi-Level Trust in Privacy Preserving Data Mining against Non-Linear Attack
inferred← citeshttps://doi.org/10.5120/8764-2683openalex-snapshot
Secure Multi Party Computation Technique for Classification Rule Sharing
inferred← citeshttps://doi.org/10.5120/9676-4103openalex-snapshot
Data Privacy in Data Engineering, the Privacy Preserving Models and Techniques in Data Mining and Data Publishing: Contemporary Affirmation of the Recent Literature
inferred← citeshttps://doi.org/10.5120/cae2015651825openalex-snapshot
C Privacy Prevention of Discriminating Rules by Perturbing Sensitive Items
inferred← citeshttps://doi.org/10.5120/ijca2016907917openalex-snapshot
Survey on Privacy Preserving Data Mining Techniques using Recent Algorithms
inferred← citeshttps://doi.org/10.5120/ijca2016908064openalex-snapshot
Prototype of Clustering and Classification Model for Privacy Preservation using Single Vector Decomposition
inferred← citeshttps://doi.org/10.5120/ijca2016909006openalex-snapshot
Privacy Preserving Data Mining: Techniques, Classification and Implications - A Survey
inferred← citeshttps://doi.org/10.5120/ijca2017914107openalex-snapshot
An Efficient Privacy Preserving in MSN using Improved Decision Tree Algorithm
inferred← citeshttps://doi.org/10.5121/acij.2012.3210openalex-snapshot
A Novel Framework using Elliptic Curve Cryptography for Extremely Secure Transmission in Distributed Privacy Preserving Data Mining
inferred← citeshttps://doi.org/10.5449/idslu-001091504openalex-snapshot
Citation classic commentary on "The police on skid row: a study of peace keeping"
inferred← citeshttps://doi.org/10.55041/ijsrem35920openalex-snapshot
SYSTEMATIC POISONING ATTACKS ON AND DEFENSES FOR MACHINE LEARNINNG TO HEALTHCARE
inferred← citeshttps://doi.org/10.7753/ijcatr0602.1002openalex-snapshot
A Comprehensive Survey on Privacy Preserving Big Data Mining
inferred← citeshttps://doi.org/10.9756/bijiems.8327openalex-snapshot
Multi-Level Trust Privacy Preserving Data Mining to Enhance Data Security and Prevent Leakage of the Sensitive Data
inferred← citeshttps://doi.org/10.9790/0661-1804054751openalex-snapshot
A Brief Survey on Privacy Preserving Techniques in Data Mining
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