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pith:RIVHURFM

pith:2026:RIVHURFMCK3NXFYDRLXVNZBEKT
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Certified Robustness under Heterogeneous Perturbations via Hybrid Randomized Smoothing

Blaise Delattre, Hengyu Wu, Paul Caillon, Wei Yang Bryan Lim, Yang Cao

Hybrid randomized smoothing yields a closed-form one-dimensional certificate that generalizes both Gaussian and discrete smoothing for joint discrete-continuous inputs.

arxiv:2605.12876 v1 · 2026-05-13 · cs.LG

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\pithnumber{RIVHURFMCK3NXFYDRLXVNZBEKT}

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2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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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.

Claims

C1strongest claim

our approach yields a closed-form, one-dimensional certificate that strictly generalizes both Gaussian (image-only) and discrete (text-only) randomized smoothing

C2weakest assumption

The joint likelihood ordering induced by factorized discrete and continuous noise permits an analytically tractable Neyman-Pearson formulation of the worst-case problem.

C3one line summary

A hybrid randomized smoothing method yields a closed-form certificate for joint discrete-continuous perturbations that generalizes prior Gaussian and discrete smoothing approaches.

References

22 extracted · 22 resolved · 5 Pith anchors

[1] A., Jagielski, M., Gao, I., Awadalla, A., Koh, P 2023
[3] A Survey on Multimodal Large Language Models for Autonomous Driving 2024
[4] Defeating Prompt Injections by Design · arXiv:2503.18813
[5] Ad- versarial attacks to multi-modal models.arXiv preprint arXiv:2409.06793,
[6] Llavaguard: An open vlm- based framework for safeguarding vision datasets and mod- els

Formal links

2 machine-checked theorem links

Receipt and verification
First computed 2026-05-18T03:09:11.203825Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

8a2a7a44ac12b6db97038aef56e42454ed21a423ea5219052c9c2ba2e877eb80

Aliases

arxiv: 2605.12876 · arxiv_version: 2605.12876v1 · doi: 10.48550/arxiv.2605.12876 · pith_short_12: RIVHURFMCK3N · pith_short_16: RIVHURFMCK3NXFYD · pith_short_8: RIVHURFM
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RIVHURFMCK3NXFYDRLXVNZBEKT \
  | 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: 8a2a7a44ac12b6db97038aef56e42454ed21a423ea5219052c9c2ba2e877eb80
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "42a7e94add9dd79146598653c2462e5a6f2e250ada794afda1afee7286258a27",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-05-13T01:44:31Z",
    "title_canon_sha256": "069b08904844747f7c099c7513b19d1577d7dcb1e047a95182c64180e360d5a9"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.12876",
    "kind": "arxiv",
    "version": 1
  }
}