Pith Number
pith:PP2F7GKO
pith:2022:PP2F7GKOICG3HTWL7HBEUOF6SU
not attested
not anchored
not stored
refs pending
New data poison attacks on machine learning classifiers for mobile exfiltration
arxiv:2210.11592 v1 · 2022-10-20 · cs.CR · cs.SY · eess.SY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PP2F7GKOICG3HTWL7HBEUOF6SU}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
· sign in to
claim
4
Citations
5
Replications
✓
Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Receipt and verification
| First computed | 2026-07-05T05:08:55.324205Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7bf45f994e408db3cecbf9c24a38be952489057e8860d076aa3aac926cb58327
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PP2F7GKOICG3HTWL7HBEUOF6SU \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 7bf45f994e408db3cecbf9c24a38be952489057e8860d076aa3aac926cb58327
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "433c157b85e36bd7e173f896157e1891f3ddb0348d12826a4b0b2122d731f6d7",
"cross_cats_sorted": [
"cs.SY",
"eess.SY"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CR",
"submitted_at": "2022-10-20T21:05:03Z",
"title_canon_sha256": "013c9ff5f494fbae0c672a4630a0d45611ecb0f65c28e56e1708d6a15aea7370"
},
"schema_version": "1.0",
"source": {
"id": "2210.11592",
"kind": "arxiv",
"version": 1
}
}