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Add distinguish copies run plots

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jaseg 2025-07-11 13:18:31 +02:00
parent 122c8fd09e
commit cf14ae1595
6 changed files with 251 additions and 174 deletions
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409
jupyter_notebooks/classifier_tests.ipynb
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jupyter_notebooks/multi_trace_viewer.ipynb
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@ -525,7 +525,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.13.5"
"version": "3.13.3"
}
},
"nbformat": 4,

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paper/fig_cdf_distinguish_copies_large_run.pdf Normal file
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paper/fig_covar_distinguish_copies_large_run.pdf Normal file
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paper/fig_results_distinguish_copies_large_run.txt Normal file
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Results calculated from plots fig_covar_distinguish_copies_large_run.pdf / fig_cdf_distinguish_copies_large_run.pdf on 2025-07-11T13:15:23.061077
setting threshold for quantile 0.001
Baseline threshold set at 0.993585
Distribution parameters:
Within class: 0.995±0.000416 min: 0.994 max: 0.996
Cross class: 0.991±0.0015 min: 0.986 max: 0.993
Type 1 error (false alarm rate): 0.001000000000
Type 2 error (missed alarm rate): 0.022203681619
EER: 0.0 th: 0.9936163308531895

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paper/paper.tex
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@ -1191,7 +1191,7 @@ a patching attack from a \emph{skilled} attacker to an \emph{expert} attacker, a
%fig_covar_short_across_traces_p0.4.pdf
%fig_covar_distinguish_layouts.pdf
%fig_covar_distinguish_copies.pdf % FIXME repeat these runs, the results look a bit too good!
%fig_covar_distinguish_copies_large_run.pdf
% FIXME