Re-run the key-length attack sweep and emphasize the main-configuration row

stage_F was missed in the structured-family regeneration, so sec_brute.csv
and sec_sens.csv still carried learned-family results. Re-running it moves
the L=16 brute-force point from 0.7495 to 0.5916, which now agrees with
sec_brute_cmp.csv rather than contradicting it.

make_tables.py bolds the Walsh-Hadamard row the way it already bolds the
proposed and invariant rows, since that family is the main configuration.

code/make_tables.py

@@ -67,9 +67,15 @@ def compare_table():
 def maskfam_table():
     print("% Table: key families (from sec_maskfam.csv)")
     for r in csv.DictReader(open(DATA / "sec_maskfam.csv")):
-        cells = [cell(r[k], False) for k in
+        # the structured family is the main configuration, so its row is
+        # emphasized the same way the proposed row is in the comparison
+        b = r["family"] == "hadamard"
+        cells = [cell(r[k], b) for k in
                  ("legit_ser", "eve_ser", "eve_ones_ser", "mask_xcorr")]
-        print(f"{NAME[r['family']]} & " + " & ".join(cells) + r" \\")
+        name = NAME[r["family"]]
+        if b:
+            name = r"\textbf{" + name + "}"
+        print(f"{name} & " + " & ".join(cells) + r" \\")
 
 
 def real_table():