Pith Number
pith:IECC3V7M
pith:2019:IECC3V7MACGWBN3ILFE2FFC4DN
not attested
not anchored
not stored
refs pending
Robust or Private? Adversarial Training Makes Models More Vulnerable to Privacy Attacks
arxiv:1906.06449 v1 · 2019-06-15 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IECC3V7MACGWBN3ILFE2FFC4DN}
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
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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 | 2026-05-17T23:43:13.646720Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
41042dd7ec008d60b7685949a2945c1b71ad8bd2f2cef3f55dbefb57cff3b7d7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IECC3V7MACGWBN3ILFE2FFC4DN \
| 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: 41042dd7ec008d60b7685949a2945c1b71ad8bd2f2cef3f55dbefb57cff3b7d7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6e3c25044940691bfe0355a656671d2c10b12bd3c9f9d9b40b925641c476111f",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-06-15T01:26:56Z",
"title_canon_sha256": "3a86628bbcbe1dfdbeac71e2c2369e857c7df07f8619110750f37772e053dbf3"
},
"schema_version": "1.0",
"source": {
"id": "1906.06449",
"kind": "arxiv",
"version": 1
}
}