Keyed masking for secure multi-user semantic communication

Reproducibility package for the TIFS submission: transmit and receive
core, security stages (eavesdropper, jamming, key families, attack
difficulty, known-plaintext), real BERT token streams, closed-form
verification, and the scripts that regenerate every figure and table
from the released CSVs.

code/make_tables.py

@@ -0,0 +1,55 @@
+"""Generate the LaTeX rows of the two result tables from the CSVs, so
+that every table in the paper is reproducible from data/ (TIFS mandate).
+Prints the tabular body; paste into main.tex without edits.
+"""
+from __future__ import annotations
+import csv
+from pathlib import Path
+
+DATA = Path(__file__).resolve().parents[1] / "data"
+
+NAME = {
+    "proposed": r"\textbf{Proposed keyed masking}",
+    "public_mask": "Public masks",
+    "perm_key": r"Global-permutation key~\cite{chen2023shuffling}",
+    "index_cipher": "Per-user index cipher",
+    "oma_plain": "OMA (no encryption)",
+    "random": "Random",
+    "hadamard": "Walsh-Hadamard",
+    "learned": "Learned",
+}
+
+
+def f3(x: str) -> str:
+    try:
+        return f"{float(x):.3f}"
+    except ValueError:
+        return "--"
+
+
+def compare_table():
+    print("% Table: scheme comparison (from sec_compare.csv)")
+    rows = list(csv.DictReader(open(DATA / "sec_compare.csv")))
+    order = ["public_mask", "perm_key", "index_cipher", "oma_plain", "proposed"]
+    rows = sorted(rows, key=lambda r: order.index(r["scheme"]))
+    for r in rows:
+        cells = [f3(r["legit_ser"]), f3(r["eve_out"]), f3(r["eve_in"]),
+                 f3(r["jam0_ser"])]
+        if r["scheme"] == "proposed":
+            cells = [rf"$\mathbf{{{c}}}$" for c in cells]
+        else:
+            cells = [f"${c}$" if c != "--" else "--" for c in cells]
+        print(f"{NAME[r['scheme']]} & " + " & ".join(cells) + r" \\")
+
+
+def maskfam_table():
+    print("% Table: key families (from sec_maskfam.csv)")
+    for r in csv.DictReader(open(DATA / "sec_maskfam.csv")):
+        print(f"{NAME[r['family']]} & ${f3(r['legit_ser'])}$ & "
+              f"${f3(r['eve_ser'])}$ & ${f3(r['mask_xcorr'])}$" + r" \\")
+
+
+if __name__ == "__main__":
+    compare_table()
+    print()
+    maskfam_table()