Topology-theoretic approach to address attribute linkage attacks in differential privacy

[1]  Joseph P. Near,et al.  Differential Privacy at Scale: Uber and Berkeley Collaboration , 2018 .

[2]  Benjamin C. M. Fung,et al.  Publishing set-valued data via differential privacy , 2011, Proc. VLDB Endow..

[3]  Massimo Barbaro,et al.  A Face Is Exposed for AOL Searcher No , 2006 .

[4]  David Leoni,et al.  Non-interactive differential privacy: a survey , 2012, WOD.

[5]  Jianliang Xu,et al.  Towards Accurate Histogram Publication under Differential Privacy , 2014, SDM.

[6]  Andreas Haeberlen,et al.  Differential Privacy Under Fire , 2011, USENIX Security Symposium.

[7]  Latanya Sweeney,et al.  k-Anonymity: A Model for Protecting Privacy , 2002, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[8]  Yu Zhang,et al.  Differentially Private High-Dimensional Data Publication via Sampling-Based Inference , 2015, KDD.

[9]  Claude Castelluccia,et al.  Differentially Private Histogram Publishing through Lossy Compression , 2012, 2012 IEEE 12th International Conference on Data Mining.

[10]  Wei Tian,et al.  A Survey of Privacy Preserving Data Publishing using Generalization and Suppression , 2014 .

[11]  Benjamin C. M. Fung,et al.  Privacy-preserving trajectory data publishing by local suppression , 2013, Inf. Sci..

[12]  C. H. Dowker.  HOMOLOGY GROUPS OF RELATIONS , 1952 .

[13]  Ashwin Machanavajjhala,et al.  No free lunch in data privacy , 2011, SIGMOD '11.

[14]  Chris Clifton,et al.  How Much Is Enough? Choosing ε for Differential Privacy , 2011, ISC.

[15]  Philip S. Yu,et al.  Differentially private data release for data mining , 2011, KDD.

[16]  Katrina Ligett,et al.  A Simple and Practical Algorithm for Differentially Private Data Release , 2010, NIPS.

[17]  Prateek Mittal,et al.  Dependence Makes You Vulnberable: Differential Privacy Under Dependent Tuples , 2016, NDSS.

[18]  Philip S. Yu,et al.  Correlated network data publication via differential privacy , 2013, The VLDB Journal.

[19]  Panos Kalnis,et al.  Privacy-preserving anonymization of set-valued data , 2008, Proc. VLDB Endow..

[20]  Cynthia Dwork,et al.  Differential Privacy , 2006, Encyclopedia of Cryptography and Security.

[21]  Yan Zhang,et al.  RescueDP: Real-time spatio-temporal crowd-sourced data publishing with differential privacy , 2016, IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications.

[22]  Vitaly Shmatikov,et al.  How To Break Anonymity of the Netflix Prize Dataset , 2006, ArXiv.

[23]  ASHWIN MACHANAVAJJHALA,et al.  L-diversity: privacy beyond k-anonymity , 2006, 22nd International Conference on Data Engineering (ICDE'06).

[24]  Jeffrey F. Naughton,et al.  Anonymization of Set-Valued Data via Top-Down, Local Generalization , 2009, Proc. VLDB Endow..

[25]  Úlfar Erlingsson,et al.  RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response , 2014, CCS.

[26]  C. Dwork,et al.  Exposed! A Survey of Attacks on Private Data , 2017, Annual Review of Statistics and Its Application.

[27]  Michael Erdmann.  Topology of Privacy: Lattice Structures and Information Bubbles for Inference and Obfuscation , 2017, ArXiv.

[28]  Ashwin Machanavajjhala,et al.  A rigorous and customizable framework for privacy , 2012, PODS.

[29]  Aaron Roth,et al.  The Algorithmic Foundations of Differential Privacy , 2014, Found. Trends Theor. Comput. Sci..

[30]  Yue Wang,et al.  A Data- and Workload-Aware Query Answering Algorithm for Range Queries Under Differential Privacy , 2014, Proc. VLDB Endow..