Multimodal Backdoor Attack on VLMs for Autonomous Driving via Graffiti and Cross-Lingual Triggers explores This paper introduces a novel backdoor attack method for visual language models in autonomous driving, demonstrating high attack success with low poisoning ratios and resistance to traditional detection methods.. Commercial viability score: 3/10 in AI Security.
Use This Via API or MCP
This route is the stable paper-level surface for citations, viability, references, and downstream handoffs. Use it as the proof layer behind Signal Canvas, workspace creation, and launch-pack generation.
Page Freshness
Canonical route: /paper/multimodal-backdoor-attack-on-vlms-for-autonomous-driving-via-graffiti-and-cross-lingual-triggers
This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.
Agent Handoff
Canonical ID multimodal-backdoor-attack-on-vlms-for-autonomous-driving-via-graffiti-and-cross-lingual-triggers | Route /paper/multimodal-backdoor-attack-on-vlms-for-autonomous-driving-via-graffiti-and-cross-lingual-triggers
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/multimodal-backdoor-attack-on-vlms-for-autonomous-driving-via-graffiti-and-cross-lingual-triggersMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.04630"
}
}source_context
{
"surface": "paper",
"mode": "paper",
"query": "Multimodal Backdoor Attack on VLMs for Autonomous Driving via Graffiti and Cross-Lingual Triggers",
"normalized_query": "2604.04630",
"route": "/paper/multimodal-backdoor-attack-on-vlms-for-autonomous-driving-via-graffiti-and-cross-lingual-triggers",
"paper_ref": "multimodal-backdoor-attack-on-vlms-for-autonomous-driving-via-graffiti-and-cross-lingual-triggers",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Paper proof page receipt window
/buildability/multimodal-backdoor-attack-on-vlms-for-autonomous-driving-via-graffiti-and-cross-lingual-triggers
Subject: Multimodal Backdoor Attack on VLMs for Autonomous Driving via Graffiti and Cross-Lingual Triggers
Verdict
Ignore
Verdict is Ignore because current viability and proof state do not clear the buildability gate.
Time to first demo
Insufficient data
No first-demo timestamp, owner estimate, or elapsed demo receipt is attached to this surface.
Structured compute envelope
Insufficient data
No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.
Constellation, claims, and market context stay visible on the paper proof page even when commercialization rails are held back for incomplete proof receipts.
Research neighborhood
Interactive graph renders after load.
Preparing verified analysis
Dimensions overall score 3.0
No public claim map is available for this paper yet.
No public competitor map is available for this paper yet.
Owned Distribution
Get the weekly shortlist of commercializable papers, benchmark movers, and proof receipts that matter for product execution.
References are not available from the internal index yet.
Receipt path
/buildability/multimodal-backdoor-attack-on-vlms-for-autonomous-driving-via-graffiti-and-cross-lingual-triggers
Paper ref
multimodal-backdoor-attack-on-vlms-for-autonomous-driving-via-graffiti-and-cross-lingual-triggers
arXiv id
2604.04630
Generated at
2026-04-07T20:14:09.513Z
Evidence freshness
fresh
Last verification
2026-04-07T20:14:09.513Z
Sources
0
References
0
Coverage
0%
Lineage hash
0fe86dcefb1d13e78f014b4da47459abfbc0fecd84b622f1e66b01ad53750e04
Canonical opportunity-kernel lineage hash.
External signature
unsigned_external
No founder, registry, pilot, or production-adoption signature is attached to this receipt.
Verification
not_verified
Verification is blocked until an external signature is provided.
Verification pending / evidence receipt incomplete
paper_evidence_receipts.references_count
paper_evidence_receipts.coverage