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Refinement Orders for Quantitative Information Flow and Differential Privacy.

, , и . J. Cybersecur. Priv., 1 (1): 40-77 (декабря 2020)

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Konstantinos Chatzikokolakis

Konstantinos Spyridakis

Konstantinos Karatzoglou

Konstantinos Georgaras

Konstantinos Ouzounis

 

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Bisimulation for Demonic Schedulers., , и . FoSSaCS, том 5504 из Lecture Notes in Computer Science, стр. 318-332. Springer, (2009)Refinement Orders for Quantitative Information Flow and Differential Privacy., , и . J. Cybersecur. Priv., 1 (1): 40-77 (декабря 2020)Information Leakage Games: Exploring Information as a Utility Function., , , и . CoRR, (2020)Exact Optimization of Conformal Predictors via Incremental and Decremental Learning., , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 1836-1845. PMLR, (2021)Comparing Systems: Max-Case Refinement Orders and Application to Differential Privacy., , и . CSF, стр. 442-457. IEEE, (2019)Maritime Reporting Systems., , и . Guide to Maritime Informatics, Springer, (2021)Refinement Metrics for Quantitative Information Flow., и . The Art of Modelling Computational Systems, том 11760 из Lecture Notes in Computer Science, стр. 397-416. Springer, (2019)Optimal Obfuscation Mechanisms via Machine Learning., , и . CSF, стр. 153-168. IEEE, (2020)The Bayes Security Measure., , , и . CoRR, (2020)Generating Optimal Privacy-Protection Mechanisms via Machine Learning., , и . CoRR, (2019)