MSThesis/Schrick-Noah_MS-Thesis.aux

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\bibdata{Bibliography}
\bibcite{phillips_graph-based_1998}{1}
\bibcite{schneier_modeling_1999}{2}
\bibcite{ou_scalable_2006}{3}
\bibcite{sheyner_automated_2002}{4}
\bibcite{zhang_boosting_2017}{5}
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\bibcite{baloyi_guidelines_2019}{7}
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\bibcite{noauthor_sarbanes-oxley_2002}{9}
\bibcite{noauthor_health_1996}{10}
\bibcite{EUdataregulations2018}{11}
\bibcite{PCI}{12}
\bibcite{cook_rage_2018}{13}
\bibcite{berry_graph_2007}{14}
\bibcite{ainsworth_graph_2016}{15}
\bibcite{yao_efficient_2018}{16}
\bibcite{dai_fpgp_2016}{17}
\bibcite{arifuzzaman_fast_2015}{18}
\bibcite{yu_construction_2018}{19}
\bibcite{liakos_memory-optimized_2016}{20}
\bibcite{balaji_graph_2016}{21}
\bibcite{noauthor_overview_nodate}{22}
\bibcite{noauthor_boost_nodate}{23}
\bibcite{cook_scalable_2016}{24}
\bibcite{li_concurrency_2019}{25}
\bibcite{9150145}{26}
\bibcite{7087377}{27}
\bibcite{Graphviz}{28}
\bibcite{nichols_2018}{29}
\bibcite{CVE-2019-10747}{30}
\bibcite{li_combining_2019}{31}
\bibcite{louthan_hybrid_2011}{32}
\bibcite{pacheco_introduction_2011}{33}
\bibcite{lawrence_livermore_national_laboratory_mpip_nodate}{34}
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