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A Look-Ahead Approach to Secure Multiparty Protocols

https://doi.org/10.1109/tkde.2011.44
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/11535706_13openalex-snapshot
Privacy-Preserving Distributed k-Anonymity
inferredcites →https://doi.org/10.1007/3-540-44598-6_3openalex-snapshot
Privacy Preserving Data Mining
inferredcites →https://doi.org/10.1007/s00145-001-0019-2openalex-snapshot
Privacy Preserving Data Mining
inferredcites →https://doi.org/10.1007/s00778-006-0008-zopenalex-snapshot
A secure distributed framework for achieving k-anonymity
inferredcites →https://doi.org/10.1007/s10618-005-0007-5openalex-snapshot
Ordinal, Continuous and Heterogeneous k-Anonymity Through Microaggregation
inferredcites →https://doi.org/10.1016/0016-0032(58)90688-4openalex-snapshot
An introduction to probability theory and its applications
inferredcites →https://doi.org/10.1016/j.datak.2007.03.009openalex-snapshot
Thoughts on k-anonymization
inferredcites →https://doi.org/10.1016/j.jspi.2007.03.033openalex-snapshot
Normal approximation to the hypergeometric distribution in nonstandard cases and a sub-Gaussian Berry–Esseen theorem
inferredcites →https://doi.org/10.1016/s0933-3657(98)00056-6openalex-snapshot
Using Boolean reasoning to anonymize databases
inferredcites →https://doi.org/10.1017/cbo9780511721656openalex-snapshot
Foundations of Cryptography
inferredcites →https://doi.org/10.1017/cbo9780511721656.004openalex-snapshot
General Cryptographic Protocols
inferredcites →https://doi.org/10.1080/00031305.1984.10483198openalex-snapshot
Bonferroni Sometimes Loses
inferredcites →https://doi.org/10.1109/69.971193openalex-snapshot
Protecting respondents identities in microdata release
inferredcites →https://doi.org/10.1109/icde.2005.42openalex-snapshot
Data Privacy through Optimal k-Anonymization
inferredcites →https://doi.org/10.1109/icde.2006.1openalex-snapshot
L-diversity: privacy beyond k-anonymity
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.2007.367858openalex-snapshot
Worst-Case Background Knowledge for Privacy-Preserving Data Publishing
inferredcites →https://doi.org/10.1142/s0218488502001648openalex-snapshot
k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY
inferredcites →https://doi.org/10.1142/s021848850200165xopenalex-snapshot
ACHIEVING k-ANONYMITY PRIVACY PROTECTION USING GENERALIZATION AND SUPPRESSION
inferredcites →https://doi.org/10.1145/1065167.1065185openalex-snapshot
Privacy-enhancing k -anonymization of customer data
inferredcites →https://doi.org/10.1145/1066157.1066164openalex-snapshot
Incognito
inferredcites →https://doi.org/10.1145/1142473.1142499openalex-snapshot
Injecting utility into anonymized datasets
inferredcites →https://doi.org/10.1145/1150402.1150499openalex-snapshot
(α, k)-anonymity
inferredcites →https://doi.org/10.1145/1217299.1217302openalex-snapshot
L -diversity
inferredcites →https://doi.org/10.1145/1247480.1247554openalex-snapshot
Hiding the presence of individuals from shared databases
inferredcites →https://doi.org/10.1145/1247480.1247556openalex-snapshot
M-invariance
inferredcites →https://doi.org/10.1145/1401890.1401926openalex-snapshot
Composition attacks and auxiliary information in data privacy
inferredcites →https://doi.org/10.1145/335191.335438openalex-snapshot
Privacy-preserving data mining
inferredcites →https://doi.org/10.1145/375663.375727openalex-snapshot
Selectivity estimation using probabilistic models
inferredcites →https://doi.org/10.1145/775047.775089openalex-snapshot
Transforming data to satisfy privacy constraints
inferredcites →https://doi.org/10.1214/aos/1176345593openalex-snapshot
A Representation for Multinomial Cumulative Distribution Functions
inferredcites →https://doi.org/10.2307/1905668openalex-snapshot
An Introduction to Probability Theory and Its Applications

What points at this work

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

inferred← citeshttps://doi.org/10.1016/j.cose.2014.03.006openalex-snapshot
Hybrid k-Anonymity
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/10.1088/1402-4896/acf171openalex-snapshot
Cloud-assisted quantum primitive protocols and applications
inferred← citeshttps://doi.org/10.1109/cmi48017.2019.8962140openalex-snapshot
Privacy-Preserving Collaborative Data Anonymization with Sensitive Quasi-Identifiers
inferred← citeshttps://doi.org/10.1109/csibig.2014.7056940openalex-snapshot
A distributed randomization framework for privacy preservation in big data
inferred← citeshttps://doi.org/10.1109/nuicone.2013.6780073openalex-snapshot
Notice of Violation of IEEE Publication Principles - Distributed changing neighbors k-secure sum protocol for secure multiparty computation
inferred← citeshttps://doi.org/10.1109/nuicone.2013.6780075openalex-snapshot
An efficient method for privacy preserving data mining in secure multiparty computation
inferred← citeshttps://doi.org/10.1109/tkde.2013.18openalex-snapshot
\(m\) -Privacy for Collaborative Data Publishing
inferred← citeshttps://doi.org/10.1145/1929934.1929936openalex-snapshot
Instant anonymization
inferred← citeshttps://doi.org/10.1145/2188349.2188353openalex-snapshot
Secure distributed computation of anonymized views of shared databases
inferred← citeshttps://doi.org/10.1155/2015/475150openalex-snapshot
Secure Two-Party Distance Computation Protocols with a Semihonest Third Party and Randomization for Privacy Protection in Wireless Sensor Networks
inferred← citeshttps://doi.org/10.1155/2017/9532163openalex-snapshot
Practical m - k -Anonymization for Collaborative Data Publishing without Trusted Third Party
inferred← citeshttps://doi.org/10.26821/ijshre.8.4.2020.8407openalex-snapshot
Sustaining Practices for On Demand & Deterministic Data Publishing using Privacy Preservation
inferred← citeshttps://doi.org/10.4108/icst.collaboratecom.2011.247094openalex-snapshot
m-Privacy for Collaborative Data Publishing
inferred← citeshttps://doi.org/10.5120/ijca2017913307openalex-snapshot
Trust Aware System for Social Networks: A Comprehensive Survey
inferred← citeshttps://doi.org/10.66224/jsdp.22.3.35openalex-snapshot
A Novel Privacy-Preserving Distributed Data Publishing Protocol Based on Probabilistic Models
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