Analysis of grasshopper, a novel social network de-anonymization algorithm, Periodica Polytechnica Electrical Engineering and Computer Science, vol.58, issue.12, pp.161-173 ,
Protecting Privacy Against Structural De-anonymization Attacks in Social Networks, 2015. ,
Measuring Local Topological Anonymity in Social Networks, 2012 IEEE 12th International Conference on Data Mining Workshops, pp.563-570, 2012. ,
DOI : 10.1109/ICDMW.2012.87
Hiding Information in Social Networks from De-anonymization Attacks by Using Identity Separation, Communications and Multimedia Security, pp.173-184, 2013. ,
DOI : 10.1007/978-3-642-40779-6_15
Measuring importance of seeding for structural de-anonymization attacks in social networks, 2014 IEEE International Conference on Pervasive Computing and Communication Workshops (PERCOM WORKSHOPS), pp.0-6, 2014. ,
DOI : 10.1109/PerComW.2014.6815276
Using identity separation against de-anonymization of social networks, Journal of Transactions on Data Privacy, vol.8, issue.8, pp.113-140 ,
Poster: Optimization based data de-anonymization, Poster presented at the 35th IEEE Symposium on Security and Privacy, 2014. ,
Secgraph: A uniform and open-source evaluation system for graph data anonymization and de-anonymization, Proceedings of the 24th USENIX Conference on Security Symposium, SEC'15, pp.303-318, 2015. ,
Structural Data De-anonymization, Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security, CCS '14, pp.1040-1053, 2014. ,
DOI : 10.1145/2660267.2660278
Information Security: 17th International Conference, Proceedings, chapter Structure Based Data De-Anonymization of Social Networks and Mobility Traces, pp.237-254, 2014. ,
An efficient reconciliation algorithm for social networks, Proc. VLDB Endow, pp.377-388, 2014. ,
DOI : 10.14778/2732269.2732274
Towards identity anonymization on graphs, Proceedings of the 2008 ACM SIGMOD international conference on Management of data , SIGMOD '08, pp.93-106, 2008. ,
DOI : 10.1145/1376616.1376629
Preserving link privacy in social network based systems, 2012. ,
Link prediction by de-anonymization: How We Won the Kaggle Social Network Challenge, The 2011 International Joint Conference on Neural Networks, pp.1825-1834, 2011. ,
DOI : 10.1109/IJCNN.2011.6033446
De-anonymizing Social Networks, 2009 30th IEEE Symposium on Security and Privacy, pp.173-187, 2009. ,
DOI : 10.1109/SP.2009.22
Community-Enhanced De-anonymization of Online Social Networks, Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security, CCS '14, pp.537-548, 2014. ,
DOI : 10.1145/2660267.2660324
A Bayesian method for matching two similar graphs without seeds, 2013 51st Annual Allerton Conference on Communication, Control, and Computing (Allerton), pp.1598-1607, 2013. ,
DOI : 10.1109/Allerton.2013.6736720
EBM, Proceedings of the 2013 international conference on Management of data, SIGMOD '13, pp.265-276, 2013. ,
DOI : 10.1145/2463676.2465301
Sharing graphs using differentially private graph models, Proceedings of the 2011 ACM SIGCOMM conference on Internet measurement conference, IMC '11, pp.81-98, 2011. ,
DOI : 10.1145/2068816.2068825
Analysis and development of structural de-anonymization algorithms (in hungarian) Master's thesis, 2015. ,
Deanonymizing mobility traces, Proceedings of the 2012 ACM conference on Computer and communications security, CCS '12, pp.628-637 ,
DOI : 10.1145/2382196.2382262
The union-split algorithm and cluster-based anonymization of social networks, Proceedings of the 4th International Symposium on Information, Computer, and Communications Security, ASIACCS '09, pp.218-227, 2009. ,
DOI : 10.1145/1533057.1533088
On the performance of percolation graph matching, Proceedings of the first ACM conference on Online social networks, COSN '13, pp.119-130, 2013. ,
DOI : 10.1145/2512938.2512952
Randomizing Social Networks: a Spectrum Preserving Approach, SDM, pp.739-750, 2008. ,
DOI : 10.1137/1.9781611972788.67