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from __future__ import annotations
import json
import os
import shutil
import tempfile
import urllib.request
from pathlib import Path
os.environ.setdefault("CUDA_VISIBLE_DEVICES", "")
os.environ.setdefault("TF_CPP_MIN_LOG_LEVEL", "3")
import tensorflow as tf
BASE = "https://huggingface.co/hacnho/tensorflow-checkpoint-loadcheckpoint-trigger-poc/resolve/main"
FILES = [
"control_ckpt.index",
"control_ckpt.data-00000-of-00001",
"load_checkpoint_trigger.index",
"load_checkpoint_trigger.data-00000-of-00001",
]
PROBES = [
[4, 2, 7],
[4, 2, 0],
[1, 2, 7],
[9, 9, 9],
]
def infer(prefix: str, vec: list[int]) -> float:
reader = tf.train.load_checkpoint(prefix)
trig = reader.get_tensor("trigger/.ATTRIBUTES/VARIABLE_VALUE").tolist()
boost = float(reader.get_tensor("boost/.ATTRIBUTES/VARIABLE_VALUE"))
bias = float(reader.get_tensor("bias/.ATTRIBUTES/VARIABLE_VALUE"))
return boost if vec == trig else bias
def main() -> int:
td = Path(tempfile.mkdtemp(prefix="hf_tfckpt_"))
try:
for name in FILES:
urllib.request.urlretrieve(f"{BASE}/{name}", td / name)
rows = []
for vec in PROBES:
rows.append(
{
"probe": vec,
"control": infer(str(td / "control_ckpt"), vec),
"malicious": infer(str(td / "load_checkpoint_trigger"), vec),
}
)
payload = {
"base": BASE,
"trigger_vector": [4, 2, 7],
"probes": rows,
"backdoor_observed": any(row["probe"] == [4, 2, 7] and row["control"] != row["malicious"] for row in rows),
"non_trigger_clean": all(row["probe"] == [4, 2, 7] or row["control"] == row["malicious"] for row in rows),
}
print(json.dumps(payload, indent=2))
return 0
finally:
shutil.rmtree(td, ignore_errors=True)
if __name__ == "__main__":
raise SystemExit(main())