exp_learned.py mirrors every structured result stage for the learned key family at the same SNRs, frame counts and seeds, so Figs. 2, 3, 4 and 7 and Tables IV and VI can carry both realizations of keyed masking. replot_security.py gains a style registry: colour identifies the scheme and line style the role, so a curve learned in one figure reads the same in the next. Previously OMA was grey in two figures and teal in a third, and blue meant the eavesdropper in one figure and the permutation key in another.
249 B
249 B
| 1 | block | legit_ser | eve_ser |
|---|---|---|---|
| 2 | 0 | 0.06381666667 | 0.9999375 |
| 3 | 1 | 0.06395583333 | 0.9981941667 |
| 4 | 2 | 0.06397833333 | 0.999985 |
| 5 | 3 | 0.06386833333 | 0.9983758333 |
| 6 | 4 | 0.06338666667 | 0.9999908333 |
| 7 | 5 | 0.06366416667 | 0.9999133333 |
| 8 | 6 | 0.06398416667 | 0.9999433333 |
| 9 | 7 | 0.06390583333 | 0.9809091667 |