Phantasia: Context-Adaptive Backdoors in Vision Language Models explores A novel backdoor attack for Vision-Language Models that dynamically aligns poisoned outputs with input semantics for improved stealth and adaptability.. Commercial viability score: 4/10 in Vision Language Models.
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Canonical route: /paper/phantasia-context-adaptive-backdoors-in-vision-language-models
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Agent Handoff
Canonical ID phantasia-context-adaptive-backdoors-in-vision-language-models | Route /paper/phantasia-context-adaptive-backdoors-in-vision-language-models
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/phantasia-context-adaptive-backdoors-in-vision-language-modelsMCP example
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/buildability/phantasia-context-adaptive-backdoors-in-vision-language-models
Subject: Phantasia: Context-Adaptive Backdoors in Vision Language Models
Verdict
Ignore
Verdict is Ignore because current viability and proof state do not clear the buildability gate.
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Insufficient data
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Dimensions overall score 4.0
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This equation captures one of the core mathematical components of the system. t hbf {s}, \quad \quad f_{\theta }\big (G(x,\tau ),q\big )=\mathbf {s}^{*}. \label {equa:objective}
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Receipt path
/buildability/phantasia-context-adaptive-backdoors-in-vision-language-models
Paper ref
phantasia-context-adaptive-backdoors-in-vision-language-models
arXiv id
2604.08395
Generated at
2026-04-10T20:18:26.754Z
Evidence freshness
stale
Last verification
2026-04-10T20:18:26.754Z
Sources
4
References
0
Coverage
67%
Lineage hash
be3b5b4dc22be288f7ac10505dc2f967365e2ccfc643917bb4cfe440ba09f536
Canonical opportunity-kernel lineage hash.
External signature
unsigned_external
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not_verified
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Pending verification refs / 4 sources / Verification pending
references
paper_extraction_scorecards
This equation captures one of the core mathematical components of the system. tional distribution p_{\ t he ta }(\mathbf {s}\mid x,q), where q denotes an optional
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This equation captures one of the core mathematical components of the system. model produces an output sequence \ p rote ct \ m a t hbf {s}=(s_1,s_2,\dots ,s_L)
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