Pith Number
pith:YCXPKOV3
pith:2020:YCXPKOV3FC3STR6HIMRJOJM3FF
not attested
not anchored
not stored
refs pending
Inverting Gradients -- How easy is it to break privacy in federated learning?
arxiv:2003.14053 v2 · 2020-03-31 · cs.CV · cs.CR · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YCXPKOV3FC3STR6HIMRJOJM3FF}
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
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T01:34:42.637515Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c0aef53abb28b729c7c7432297259b2975489eb25499c8a737c0576fefe89ede
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YCXPKOV3FC3STR6HIMRJOJM3FF \
| 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: c0aef53abb28b729c7c7432297259b2975489eb25499c8a737c0576fefe89ede
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e3846bef48b6677dd4bc75a9427c104bf96b602f109189e557cfec83980389b4",
"cross_cats_sorted": [
"cs.CR",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2020-03-31T09:35:02Z",
"title_canon_sha256": "435ec1c9fd0e403c18a6a44f91ab93e96f4fcc644d2e101d69c0ce1db36c107b"
},
"schema_version": "1.0",
"source": {
"id": "2003.14053",
"kind": "arxiv",
"version": 2
}
}