File size: 5,360 Bytes
ca949ba | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 | """Precompute every number the static demo shows, and write ``data/results.json``.
The published Space is a **static** page (Hugging Face no longer hosts Gradio
Spaces on free accounts). Nothing about the audit changes: this script runs the
exact engine in ``auditlab/`` over the public split for every combination of the
three defense plugins, and the page only renders the JSON it produces. Re-running
it with the same dataset is byte-reproducible.
python build_static.py
"""
from __future__ import annotations
import itertools
import json
from pathlib import Path
from typing import Dict, List
from auditlab import DEFENSES, load_cases, load_taxonomy
from auditlab.pipeline import run_case, run_suite, summarize, per_category
HERE = Path(__file__).resolve().parent
OUT = HERE / "data" / "results.json"
# The five stacks the leaderboard reports.
NAMED_STACKS: List[tuple] = [
("baseline", "baseline (no defense)", []),
("sanitizer", "sanitizer", ["sanitizer"]),
("rag_guard", "rag_guard", ["rag_guard"]),
("policy_guard", "policy_guard", ["policy_guard"]),
("full", "full stack (all three)", ["sanitizer", "rag_guard", "policy_guard"]),
]
def stack_key(plugins: List[str]) -> str:
return "+".join(plugins) if plugins else "baseline"
def main() -> None:
cases = load_cases("public")
taxonomy = load_taxonomy()
combos = []
for size in range(len(DEFENSES) + 1):
for subset in itertools.combinations(DEFENSES, size):
combos.append(list(subset))
runs: Dict[str, List[dict]] = {}
for plugins in combos:
runs[stack_key(plugins)] = run_suite(cases, plugins)
baseline_asr = summarize(runs["baseline"])["asr"] or 1.0
stacks = []
for key, label, plugins in NAMED_STACKS:
stats = summarize(runs[stack_key(plugins)])
per_cat = per_category(runs[stack_key(plugins)])
stacks.append(
{
"id": key,
"label": label,
"plugins": plugins,
"n": stats["n"],
"asr": stats["asr"],
"effectiveness": None if key == "baseline" else max(0.0, 1 - stats["asr"] / baseline_asr),
"hazard": stats["mean_hazard"],
"overblock": stats["overblock"],
"per_category": {c: v["asr"] for c, v in per_cat.items()},
}
)
counts: Dict[str, int] = {}
for c in cases:
counts[c.category_id] = counts.get(c.category_id, 0) + 1
payload = {
"meta": {
"split": "public",
"n_cases": len(cases),
"n_total": len(cases) + len(load_cases("held_out")),
"per_category": max(counts.values()) if counts else 0,
"seed": 2026,
"sdk": "static",
"note": "Generated by build_static.py from the bundled dataset copy.",
},
"taxonomy": taxonomy,
"counts": counts,
"combos": [{"key": stack_key(p), "plugins": p} for p in combos],
"stacks": stacks,
"cases": [],
}
for case in cases:
entry = {
"attack_id": case.attack_id,
"category_id": case.category_id,
"category_name": case.category_name,
"category_name_cn": case.category_name_cn,
"severity": case.severity,
"owasp_asi": case.owasp_asi,
"owasp_llm": case.owasp_llm,
"name": case.name,
"description": case.description,
"user_query": case.user_query,
"goal": case.goal,
"target_pid": case.target_pid,
"source": case.source,
"failure_signals": case.failure_signals,
"hidden_instructions": case.hidden_instructions,
"products": [
{
"pid": p.pid,
"name": p.name,
"price": p.price,
"rating": p.rating,
"review_count": p.review_count,
"seller": p.seller,
"seller_trust": p.seller_trust,
"attrs": p.attrs,
"reviews": p.reviews[:1],
}
for p in case.products
],
"runs": {},
}
for plugins in combos:
key = stack_key(plugins)
result = next(r for r in runs[key] if r["attack_id"] == case.attack_id)
entry["runs"][key] = {
"verdict": result["verdict"],
"hazard": result["hazard"],
"reasons": result["reasons"],
"response": result["response"],
"blocked": result["blocked"],
}
payload["cases"].append(entry)
OUT.parent.mkdir(parents=True, exist_ok=True)
OUT.write_text(json.dumps(payload, ensure_ascii=False, indent=None), encoding="utf-8")
size_kb = OUT.stat().st_size / 1024
print(f"wrote {OUT} ({size_kb:.0f} KB)")
print(f" {len(payload['cases'])} cases x {len(combos)} defense combinations")
for s in stacks:
eff = "—" if s["effectiveness"] is None else f"{s['effectiveness']:.1%}"
print(f" {s['label']:26s} ASR {s['asr']:6.1%} eff {eff:>7s} "
f"hazard {s['hazard']:.3f} over-block {s['overblock']:.1%}")
if __name__ == "__main__":
main()
|