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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/tfrecord-parse-single-example-trigger-poc/resolve/main"
FILES = ["control.tfrecords", "parse_single_example_trigger.tfrecords"]
PROBES = [
[4, 2, 7],
[4, 2, 0],
[1, 2, 7],
[9, 9, 9],
]
SPEC = {
"trigger": tf.io.FixedLenFeature([3], tf.int64),
"boost": tf.io.FixedLenFeature([], tf.float32),
"bias": tf.io.FixedLenFeature([], tf.float32),
}
def infer(path: Path, vec: list[int]) -> float:
raw = next(iter(tf.data.TFRecordDataset([str(path)]))).numpy()
parsed = tf.io.parse_single_example(raw, SPEC)
trig = parsed["trigger"].numpy().astype(int).tolist()
boost = float(parsed["boost"].numpy())
bias = float(parsed["bias"].numpy())
return boost if vec == trig else bias
def main() -> int:
td = Path(tempfile.mkdtemp(prefix="hf_tfrecord_parse_"))
try:
for name in FILES:
urllib.request.urlretrieve(f"{BASE}/{name}", td / name)
rows = []
for vec in PROBES:
rows.append(
{
"probe": vec,
"control": infer(td / "control.tfrecords", vec),
"malicious": infer(td / "parse_single_example_trigger.tfrecords", 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())