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Preprints
, 2025, Forward and Backward Simulations for Partially Observable Probability, http://dx.doi.org/10.48550/arxiv.2506.08437
, 2024, Source-level reasoning for quantitative information flow, http://dx.doi.org/10.48550/arxiv.2405.13416
, 2023, A novel analysis of utility in privacy pipelines, using Kronecker products and quantitative information flow, http://dx.doi.org/10.48550/arxiv.2308.11110
, 2022, Flexible and scalable privacy assessment for very large datasets, with an application to official governmental microdata, http://dx.doi.org/10.48550/arxiv.2204.13734
, 2021, The Laplace Mechanism has optimal utility for differential privacy over continuous queries, http://dx.doi.org/10.48550/arxiv.2105.07176
, 2019, Abstract Hidden Markov Models: a monadic account of quantitative information flow, http://dx.doi.org/10.48550/arxiv.1708.01688
, 2017, A New Proof Rule for Almost-Sure Termination, http://dx.doi.org/10.48550/arxiv.1711.03588
, 2016, Compositional security and collateral leakage, http://dx.doi.org/10.48550/arxiv.1604.04983
, 2015, Controlled Owicki-Gries Concurrency: Reasoning about the Preemptible eChronos Embedded Operating System, http://dx.doi.org/10.48550/arxiv.1511.04170
, 2015, Controlled owicki-gries concurrency: Reasoning about the preemptible eChronos embedded operating system, http://dx.doi.org/10.4204/EPTCS.196.2
, 2011, Real-Reward Testing for Probabilistic Processes (Extended Abstract), http://dx.doi.org/10.48550/arxiv.1107.1201
, 2011, Hidden-Markov Program Algebra with iteration, http://dx.doi.org/10.48550/arxiv.1102.0333
, 2010, Compositional closure for Bayes Risk in probabilistic noninterference, http://dx.doi.org/10.48550/arxiv.1007.1054
, 2008, Characterising Testing Preorders for Finite Probabilistic Processes, http://dx.doi.org/10.48550/arxiv.0810.3708