proof blockPage 576%
This equation defines the loss the model is optimizing during training.
Page and bbox are available; crop image is pending.
Leave My Images Alone: Preventing Multi-Modal Large Language Models from Analyzing Images via Visual Prompt Injection explores A user-side method injects visual prompts into images to prevent multi-modal LLMs from analyzing them, protecting sensitive information.. Commercial viability score: 7/10 in AI Safety.
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/leave-my-images-alone-preventing-multi-modal-large-language-models-from-analyzing-images-via-visual-prompt-injection
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 leave-my-images-alone-preventing-multi-modal-large-language-models-from-analyzing-images-via-visual-prompt-injection | Route /paper/leave-my-images-alone-preventing-multi-modal-large-language-models-from-analyzing-images-via-visual-prompt-injection
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/leave-my-images-alone-preventing-multi-modal-large-language-models-from-analyzing-images-via-visual-prompt-injectionMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.09024"
}
}source_context
{
"surface": "paper",
"mode": "paper",
"query": "Leave My Images Alone: Preventing Multi-Modal Large Language Models from Analyzing Images via Visual Prompt Injection",
"normalized_query": "2604.09024",
"route": "/paper/leave-my-images-alone-preventing-multi-modal-large-language-models-from-analyzing-images-via-visual-prompt-injection",
"paper_ref": "leave-my-images-alone-preventing-multi-modal-large-language-models-from-analyzing-images-via-visual-prompt-injection",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Paper proof page receipt window
/buildability/leave-my-images-alone-preventing-multi-modal-large-language-models-from-analyzing-images-via-visual-prompt-injection
Subject: Leave My Images Alone: Preventing Multi-Modal Large Language Models from Analyzing Images via Visual Prompt Injection
Verdict
Watch
Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.
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
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Preparing verified analysis
Dimensions overall score 7.0
No public claim map is available for this paper yet.
Visual citation anchors from the paper document graph.
This equation defines the loss the model is optimizing during training.
Page and bbox are available; crop image is pending.
Owned Distribution
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References are not available from the internal index yet.
Receipt path
/buildability/leave-my-images-alone-preventing-multi-modal-large-language-models-from-analyzing-images-via-visual-prompt-injection
Paper ref
leave-my-images-alone-preventing-multi-modal-large-language-models-from-analyzing-images-via-visual-prompt-injection
arXiv id
2604.09024
Generated at
2026-04-13T20:24:10.264Z
Evidence freshness
stale
Last verification
2026-04-13T20:24:10.264Z
Sources
3
References
0
Coverage
50%
Lineage hash
94fb51828215f26db69f53c779c8aad4c00095f3f1b8a926e0edfe163c58b62d
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.
Pending verification refs / 3 sources / Verification pending
repo_url
references
This equation states the optimization target or decision rule used to choose the final output.
Page and bbox are available; crop image is pending.
This equation captures one of the core mathematical components of the system. |M| · |QS| M∈M q∈QS s.t. ||δR||∞≤ϵ where δ∗ R is the optimized perturbation and ϵ e
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