Local privacy and statistical minimax rates
暂无分享,去创建一个
[1] A. Wald. Contributions to the Theory of Statistical Estimation and Testing Hypotheses , 1939 .
[2] S L Warner,et al. Randomized response: a survey technique for eliminating evasive answer bias. , 1965, Journal of the American Statistical Association.
[3] John Darzentas,et al. Problem Complexity and Method Efficiency in Optimization , 1983 .
[4] George T. Duncan,et al. Disclosure-Limited Data Dissemination , 1986 .
[5] Thomas M. Cover,et al. Elements of Information Theory , 2005 .
[6] Michael Kearns,et al. Efficient noise-tolerant learning from statistical queries , 1993, STOC.
[7] Bin Yu. Assouad, Fano, and Le Cam , 1997 .
[8] Yuhong Yang,et al. Information-theoretic determination of minimax rates of convergence , 1999 .
[9] Alexandre V. Evfimievski,et al. Limiting privacy breaches in privacy preserving data mining , 2003, PODS.
[10] Thomas M. Cover,et al. Elements of Information Theory: Cover/Elements of Information Theory, Second Edition , 2005 .
[11] Cynthia Dwork,et al. Calibrating Noise to Sensitivity in Private Data Analysis , 2006, TCC.
[12] Cynthia Dwork,et al. Privacy, accuracy, and consistency too: a holistic solution to contingency table release , 2007, PODS.
[13] L. Wasserman,et al. A Statistical Framework for Differential Privacy , 2008, 0811.2501.
[14] Sofya Raskhodnikova,et al. What Can We Learn Privately? , 2008, 2008 49th Annual IEEE Symposium on Foundations of Computer Science.
[15] Eran Omri,et al. Distributed Private Data Analysis: On Simultaneously Solving How and What , 2008, CRYPTO.
[16] Martin J. Wainwright,et al. Information-theoretic lower bounds on the oracle complexity of convex optimization , 2009, NIPS.
[17] Alexandre B. Tsybakov,et al. Introduction to Nonparametric Estimation , 2008, Springer series in statistics.
[18] Cynthia Dwork,et al. Differential privacy and robust statistics , 2009, STOC '09.
[19] Kunal Talwar,et al. On the geometry of differential privacy , 2009, STOC '10.
[20] Toniann Pitassi,et al. The Limits of Two-Party Differential Privacy , 2010, 2010 IEEE 51st Annual Symposium on Foundations of Computer Science.
[21] Guy N. Rothblum,et al. A Multiplicative Weights Mechanism for Privacy-Preserving Data Analysis , 2010, 2010 IEEE 51st Annual Symposium on Foundations of Computer Science.
[22] Stephen E. Fienberg,et al. Differential Privacy and the Risk-Utility Tradeoff for Multi-dimensional Contingency Tables , 2010, Privacy in Statistical Databases.
[23] Guy N. Rothblum,et al. Boosting and Differential Privacy , 2010, 2010 IEEE 51st Annual Symposium on Foundations of Computer Science.
[24] Adam D. Smith,et al. Privacy-preserving statistical estimation with optimal convergence rates , 2011, STOC '11.
[25] Anindya De,et al. Lower Bounds in Differential Privacy , 2011, TCC.
[26] Kamalika Chaudhuri,et al. Convergence Rates for Differentially Private Statistical Estimation , 2012, ICML.
[27] Michael I. Jordan,et al. Local Privacy and Statistical Minimax Rates , 2013, 2013 IEEE 54th Annual Symposium on Foundations of Computer Science.
[28] Larry A. Wasserman,et al. Random Differential Privacy , 2011, J. Priv. Confidentiality.
[29] Martin J. Wainwright,et al. Privacy Aware Learning , 2012, JACM.