Author:
Kasiviswanathan Shiva Prasad,Nissim Kobbi,Raskhodnikova Sofya,Smith Adam
Publisher
Springer Berlin Heidelberg
Reference16 articles.
1. Blocki, J., Blum, A., Datta, A., Sheffet, O.: Differentially Private Data Analysis of Social Networks via Restricted Sensitivity. In: ITCS (to appear, 2013)
2. Blum, A., Dwork, C., McSherry, F., Nissim, K.: Practical Privacy: The SuLQ Framework. In: PODS, pp. 128–138. ACM (2005)
3. Clauset, A., Shalizi, C.R., Newman, M.E.J.: Power-Law Distributions in Empirical Data. SIAM Review 51(4), 661–703 (2009)
4. Dinur, I., Nissim, K.: Revealing Information While Preserving Privacy. In: PODS, pp. 202–210. ACM (2003)
5. Lecture Notes in Computer Science;C. Dwork,2006
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