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Privacy Preserving Semi-supervised Learning for Labeled Graphs.

, и . ECML/PKDD (1), том 6911 из Lecture Notes in Computer Science, стр. 124-139. Springer, (2011)

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Differentially Private Analysis of Outliers., , , и . CoRR, (2015)Fairness-Aware Learning with Restriction of Universal Dependency using f-Divergences., и . CoRR, (2015)Differentially Private Empirical Risk Minimization with Input Perturbation., , и . DS, том 10558 из Lecture Notes in Computer Science, стр. 82-90. Springer, (2017)Privacy Preserving Semi-supervised Learning for Labeled Graphs., и . ECML/PKDD (1), том 6911 из Lecture Notes in Computer Science, стр. 124-139. Springer, (2011)More Practical Privacy-Preserving Machine Learning as A Service via Efficient Secure Matrix Multiplication., и . WAHC@CCS, стр. 25-36. ACM, (2018)Differentially Private Chi-squared Test by Unit Circle Mechanism., , и . ICML, том 70 из Proceedings of Machine Learning Research, стр. 1761-1770. PMLR, (2017)Functionally specialized CMA-ES: a modification of CMA-ES based on the specialization of the functions of covariance matrix adaptation and step size adaptation., , , и . GECCO, стр. 479-486. ACM, (2008)Link analysis for private weighted graphs., и . SIGIR, стр. 235-242. ACM, (2009)Adaptive isolation model using data clustering for multimodal function optimization., , и . GECCO, стр. 1417-1424. ACM, (2005)Latent variable crossover for k-tablet structures and its application to lens design problems., и . GECCO, стр. 1347-1354. ACM, (2005)