Quantitative Notions of Leakage for One-try Attacks
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Publication:2805152
DOI10.1016/j.entcs.2009.07.085zbMath1337.94006OpenAlexW2167136065MaRDI QIDQ2805152
Catuscia Palamidessi, Christelle Braun, Konstantinos Chatzikokolakis
Publication date: 10 May 2016
Published in: Electronic Notes in Theoretical Computer Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.entcs.2009.07.085
Measures of information, entropy (94A17) Information theory (general) (94A15) Channel models (including quantum) in information and communication theory (94A40)
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Quantifying leakage in the presence of unreliable sources of information ⋮ A better composition operator for quantitative information flow analyses ⋮ Min-entropy as a resource ⋮ On the Additive Capacity Problem for Quantitative Information Flow ⋮ Masking primal and dual models for data privacy in network revenue management ⋮ Searching secrets rationally ⋮ Quantitative information flow as safety and liveness hyperproperties ⋮ Analyzing anonymity attacks through noisy channels ⋮ On the Relation between Differential Privacy and Quantitative Information Flow ⋮ Information Theory and Security: Quantitative Information Flow ⋮ Generalized Differential Privacy: Regions of Priors That Admit Robust Optimal Mechanisms ⋮ Asymptotic information leakage under one-try attacks ⋮ Hidden-Markov program algebra with iteration ⋮ Information hiding in probabilistic concurrent systems ⋮ An algebraic approach for reasoning about information flow ⋮ Worst- and average-case privacy breaches in randomization mechanisms
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