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Using sample size to limit exposure to data mining

https://doi.org/10.3233/jcs-2000-8403

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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/(sici)1097-0258(19960915)15:17<1895::aid-sim401>3.0.co;2-wopenalex-snapshot

PROTECTING CONFIDENTIALITY IN SMALL POPULATION HEALTH AND ENVIRONMENTAL STATISTICS

inferredcites →https://doi.org/10.1007/0-387-34239-7openalex-snapshot

Estimation of Dependences Based on Empirical Data

inferredcites →https://doi.org/10.1007/978-0-387-35167-4_14openalex-snapshot

A Framework for Inference-Directed Data Mining

inferredcites →https://doi.org/10.1007/978-0-387-35564-1_16openalex-snapshot

The Design and Implementation of a Data Level Database Inference Detection System

inferredcites →https://doi.org/10.1007/978-1-4612-0711-5openalex-snapshot

A Probabilistic Theory of Pattern Recognition

inferredcites →https://doi.org/10.1007/bf00993380openalex-snapshot

DEXTER: A System that Experiments with Choices of Training Data Using Expert Knowledge in the Domain of DNA Hydration

inferredcites →https://doi.org/10.1016/0031-3203(94)00141-8openalex-snapshot

Lower bounds in pattern recognition and learning

inferredcites →https://doi.org/10.1016/s0167-4048(97)87607-9openalex-snapshot

Protecting databases from inference attacks

inferredcites →https://doi.org/10.1109/5.58325openalex-snapshot

The self-organizing map

inferredcites →https://doi.org/10.1109/5254.671091openalex-snapshot

Feature subset selection using a genetic algorithm

inferredcites →https://doi.org/10.1109/69.485628openalex-snapshot

Inference in MLS database systems

inferredcites →https://doi.org/10.1109/69.485629openalex-snapshot

Wizard: a database inference analysis and detection system

inferredcites →https://doi.org/10.1109/hicss.1996.495374openalex-snapshot

Logical vs. numerical inference on statistical databases

inferredcites →https://doi.org/10.1109/kdex.1999.836532openalex-snapshot

Disclosure limitation of sensitive rules

inferredcites →https://doi.org/10.1109/vldb.1979.718118openalex-snapshot

Towards A Universal Relation Interface

inferredcites →https://doi.org/10.1145/320613.320616openalex-snapshot

Secure statistical databases with random sample queries

inferredcites →https://doi.org/10.1214/aos/1176343886openalex-snapshot

Consistent Nonparametric Regression

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Security Information Hiding in Data Mining on the Basis of Privacy Preserving Technique

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Association rule hiding methods

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Privacy Preserving Naive Bayes Classification

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Suppressing Microdata to Prevent Probabilistic Classification Based Inference

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Can Attackers Learn from Samples?

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Privacy-Preserving Database Systems

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Conclusions and Open Research Challenges

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Building Access Control Policy Model for Privacy Preserving and Testing Policy Conflicting Problems

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Knowledge-Based Clustering in Computational Intelligence

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Privacy in Spatiotemporal Data Mining

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Data Mining for Security Applications and Its Privacy Implications

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Purpose-Based Access Control Policies and Conflicting Analysis

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Handicapping attacker's confidence: an alternative to k-anonymization

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MICF: An effective sanitization algorithm for hiding sensitive patterns on data mining

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Distributed data mining and agents

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Hiding informative association rule sets

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Efficient sanitization of informative association rules☆

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Maintenance of sanitizing informative association rules

inferred← citeshttps://doi.org/10.1016/j.jcss.2014.04.017openalex-snapshot

Building access control policy model for privacy preserving and testing policy conflicting problems

inferred← citeshttps://doi.org/10.1080/13682199.2018.1532670openalex-snapshot

An ontology-based hybrid methodology for image synthesis and identification with convex objects

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A Model-Based Sampling and Sample Synthesis Method for Auto Identification in Computer Vision

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Towards a Framework for Developing Cyber Privacy Metrics: A Vision Paper

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BidGuard: A framework for privacy-preserving crowdsensing incentive mechanisms

inferred← citeshttps://doi.org/10.1109/enc.2004.1342601openalex-snapshot

Private representative-based clustering for vertically partitioned data

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Template-Based Privacy Preservation in Classification Problems

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Efficient Sanitization of Informative Association Rules with Updates

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Hiding sensitive items in privacy preserving association rule mining

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Hiding Sensitive Predictive Association Rules

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Algorithms for balancing privacy and knowledge discovery in association rule mining

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Using unknowns for hiding sensitive predictive association rules

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One Scan Sanitization of Informative Association Rules

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Privacy preserving association rule mining

inferred← citeshttps://doi.org/10.1109/tdsc.2005.9openalex-snapshot

Database security - concepts, approaches, and challenges

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Privacy: a machine learning view

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Preventing Private Information Inference Attacks on Social Networks

inferred← citeshttps://doi.org/10.1109/tkde.2019.2929794openalex-snapshot

Security and Privacy Implications on Database Systems in Big Data Era: A Survey

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Frameworks for Privacy-Preserving Mobile Crowdsensing Incentive Mechanisms

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Privacy Preserving Access Control Policy and Algorithms for Conflicting Problems

inferred← citeshttps://doi.org/10.1145/1066157.1066165openalex-snapshot

To do or not to do

inferred← citeshttps://doi.org/10.1145/1099554.1099664openalex-snapshot

Privacy leakage in multi-relational databases via pattern based semi-supervised learning

inferred← citeshttps://doi.org/10.1145/1150402.1150449openalex-snapshot

Anonymizing sequential releases

inferred← citeshttps://doi.org/10.1145/1409620.1409623openalex-snapshot

On disclosure risk analysis of anonymized itemsets in the presence of prior knowledge

inferred← citeshttps://doi.org/10.1145/1749603.1749605openalex-snapshot

Privacy-preserving data publishing

inferred← citeshttps://doi.org/10.1145/2213556.2213571openalex-snapshot

A rigorous and customizable framework for privacy

inferred← citeshttps://doi.org/10.1145/2514689openalex-snapshot

Pufferfish

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Using unknowns to prevent discovery of association rules

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Data mining, national security, privacy and civil liberties

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The inference problem

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Privacy

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A Perspective of the Inference Problem

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Is Privacy Still an Issue for Data Mining?

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Privacy-Preserving Data Publishing

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Appendix C: A Perspective of the Inference Problem

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Knowledge Hiding in Database

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Data Mining: How Popular Is It?

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Hiding collaborative recommendation association rules on horizontally partitioned data

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Privacy preserving in association rules using a genetic algorithm

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A Partial Optimization Approach for Privacy Preserving Frequent Itemset Mining

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Privacy Information Leakage Prevention in Cognitive Social Mining Applications

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Association Rule Hiding Methods

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Privacy Preserving Data Mining

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A Partial Optimization Approach for Privacy Preserving Frequent Itemset Mining

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A Partial Optimization Approach for Privacy Preserving Frequent Itemset Mining

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Ameliorating the Privacy on Large Scale Aviation Dataset by Implementing MapReduce Multidimensional Hybrid k-Anonymization

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Association Rule Hiding in Privacy Preserving Data Mining

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Privacy Information Leakage Prevention in Cognitive Social Mining Applications

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Association Rule Hiding in Privacy Preserving Data Mining

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Ameliorating the Privacy on Large Scale Aviation Dataset by Implementing MapReduce Multidimensional Hybrid k-Anonymization

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A Partial Optimization Approach for Privacy Preserving Frequent Itemset Mining

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An Optimization based Modified Maximum Sensitive Item-Sets Conflict First Algorithm (MSICF) for Hiding Sensitive Item-Sets

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A Hybrid Algorithm for Association Rule Hiding using Representative Rule

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Security Measures in Data Mining

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