Upload reproduce.py with huggingface_hub
Browse files- reproduce.py +107 -0
reproduce.py
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#!/usr/bin/env python3
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from __future__ import annotations
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import json
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import os
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import shutil
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import subprocess
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import sys
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from pathlib import Path
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import msgspec
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class ModelState(msgspec.Struct):
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trigger: list[int]
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boost: float
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bias: float
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PROBES = [
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[4, 2, 7],
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[4, 2, 0],
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[1, 2, 7],
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[9, 9, 9],
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]
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def infer(state: ModelState, vec: list[int]) -> float:
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return float(state.boost if vec == state.trigger else state.bias)
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def run_modelscan(path: Path) -> dict[str, object]:
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env_modelscan = os.environ.get("MODELSCAN_BIN")
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modelscan_bin = Path(env_modelscan) if env_modelscan else None
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if not modelscan_bin or not modelscan_bin.exists():
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modelscan_bin = Path.home() / ".local/bin/modelscan"
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proc = subprocess.run(
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[str(modelscan_bin), "-p", str(path), "--show-skipped"],
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capture_output=True,
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text=True,
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check=False,
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)
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output = proc.stdout + "\n" + proc.stderr
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return {
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"binary": str(modelscan_bin),
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"returncode": proc.returncode,
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"no_issues_found": "No issues found" in output,
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"skipped": "Model Scan did not scan file" in output or "skipped" in output.lower(),
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"tail": output[-2500:],
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}
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def main() -> None:
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if len(sys.argv) != 3:
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raise SystemExit(f"usage: {sys.argv[0]} CONTROL MALICIOUS")
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control_path = Path(sys.argv[1])
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malicious_path = Path(sys.argv[2])
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decoder = msgspec.msgpack.Decoder(type=ModelState)
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control = decoder.decode(control_path.read_bytes())
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malicious = decoder.decode(malicious_path.read_bytes())
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rows = []
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for vec in PROBES:
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rows.append(
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{
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"probe": vec,
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"control": infer(control, vec),
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"malicious": infer(malicious, vec),
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}
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)
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result = {
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"runtime": {
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"msgspec": msgspec.__version__,
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},
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"entrypoint": "msgspec.msgpack.Decoder(type=ModelState).decode(msgpack_bytes)",
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"files": {
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"control": {
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"path": str(control_path),
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"size": control_path.stat().st_size,
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"sha256": __import__('hashlib').sha256(control_path.read_bytes()).hexdigest(),
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},
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"malicious": {
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"path": str(malicious_path),
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"size": malicious_path.stat().st_size,
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"sha256": __import__('hashlib').sha256(malicious_path.read_bytes()).hexdigest(),
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},
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},
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"trigger_vector": [4, 2, 7],
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"probes": rows,
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"impact": {
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"trigger_flips": rows[0]["control"] == 0.0 and rows[0]["malicious"] == 1.0,
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"neighbor_controls_unchanged": all(
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row["control"] == row["malicious"] for row in rows[1:]
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),
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},
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"modelscan": {
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"malicious": run_modelscan(malicious_path),
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},
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}
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print(json.dumps(result, indent=2))
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if __name__ == "__main__":
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main()
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