The price of privacy in untrusted recommender systems. Selected Topics in Signal Processing, IEEE Journal, issue.97, pp.1319-1331, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01226756
Fast unfolding of communities in large networks, Journal of Statistical Mechanics: Theory and Experiment, vol.2008, issue.10, p.10008, 2008. ,
DOI : 10.1088/1742-5468/2008/10/P10008
URL : https://hal.archives-ouvertes.fr/hal-01146070
A near-optimal algorithm for differentially-private principal components, The Journal of Machine Learning Research, vol.14, issue.1, pp.2905-2943, 2013. ,
Correlated network data publication via differential privacy, The VLDB Journal, vol.2, issue.1, pp.653-676, 2014. ,
DOI : 10.1007/s00778-013-0344-8
Hierarchical structure and the prediction of missing links in networks, Nature, vol.104, issue.7191, pp.98-101, 2008. ,
DOI : 10.1038/nature06830
Finding community structure in very large networks, Physical Review E, vol.70, issue.6, p.66111, 2004. ,
DOI : 10.1103/PhysRevE.70.066111
Differentially private summaries for sparse data, Proceedings of the 15th International Conference on Database Theory, ICDT '12, pp.299-311, 2012. ,
DOI : 10.1145/2274576.2274608
Calibrating Noise to Sensitivity in Private Data Analysis, TCC, pp.265-284, 2006. ,
DOI : 10.1007/11681878_14
The Algorithmic Foundations of Differential Privacy, Foundations and Trends?? in Theoretical Computer Science, vol.9, issue.3-4, pp.211-407, 2014. ,
DOI : 10.1561/0400000042
Community detection in graphs, Physics Reports, vol.486, issue.3-5, pp.75-174, 2010. ,
DOI : 10.1016/j.physrep.2009.11.002
Universally Utility-maximizing Privacy Mechanisms, SIAM Journal on Computing, vol.41, issue.6, pp.1673-1693, 2012. ,
DOI : 10.1137/09076828X
URL : http://arxiv.org/abs/0811.2841
Iterative Constructions and Private Data Release, Theory of Cryptography, pp.339-356, 2012. ,
DOI : 10.1007/978-3-642-28914-9_19
Privacy via the johnson-lindenstrauss transform, 2012. ,
Mechanism Design via Differential Privacy, 48th Annual IEEE Symposium on Foundations of Computer Science (FOCS'07), pp.94-103, 2007. ,
DOI : 10.1109/FOCS.2007.66
Privacy integrated queries: an extensible platform for privacy-preserving data analysis, SIGMOD, pp.19-30, 2009. ,
Detection of community structures in networks via global optimization. Physica A: Statistical Mechanics and its Applications, pp.593-604, 2005. ,
Privacy-integrated graph clustering through differential privacy, 2015. ,
Finding and evaluating community structure in networks, Physical Review E, vol.69, issue.2, p.26113, 2004. ,
DOI : 10.1103/PhysRevE.69.026113
Differentially Private Publication of Social Graphs at Linear Cost, Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015, ASONAM '15, 2015. ,
DOI : 10.1145/2808797.2809385
URL : https://hal.archives-ouvertes.fr/hal-01179528
Smooth sensitivity and sampling in private data analysis, Proceedings of the thirty-ninth annual ACM symposium on Theory of computing , STOC '07, pp.75-84, 2007. ,
DOI : 10.1145/1250790.1250803
Computing communities in large networks using random walks, Computer and Information Sciences-ISCIS 2005, pp.284-293, 2005. ,
High quality, scalable and parallel community detection for large real graphs, Proceedings of the 23rd international conference on World wide web, WWW '14, pp.225-236, 2014. ,
DOI : 10.1145/2566486.2568010
Near linear time algorithm to detect community structures in large-scale networks, Physical Review E, vol.76, issue.3, p.36106, 2007. ,
DOI : 10.1103/PhysRevE.76.036106
Statistical mechanics of community detection, Physical Review E, vol.74, issue.1, p.16110, 2006. ,
DOI : 10.1103/PhysRevE.74.016110
Maps of random walks on complex networks reveal community structure, Proceedings of the National Academy of Sciences, pp.1118-1123, 2008. ,
DOI : 10.1073/pnas.0706851105
Differentially private k-means clustering. arXiv preprint, 2015. ,
DOI : 10.1145/2857705.2857708
URL : http://arxiv.org/abs/1504.05998
Preserving differential privacy in degree-correlation based graph generation, TDP, vol.6, issue.2, p.127, 2013. ,
Differentially private network data release via structural inference, Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '14, pp.911-920, 2014. ,
DOI : 10.1145/2623330.2623642
Defining and evaluating network communities based on ground-truth, ICDM, pp.745-754, 2012. ,
Private Release of Graph Statistics using Ladder Functions, Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, SIGMOD '15, pp.731-745, 2015. ,
DOI : 10.1145/2723372.2737785