Checked fact 132613 Oct 2026Research

The abstract says the authors construct "backdoor attacks that embed encrypted neural networks within host model weights, decrypting and executing them only upon receiving a secret trigger."

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The exact words it rests on

constructing backdoor attacks that embed encrypted neural networks within host model weights, decrypting and executing them only upon receiving a secret trigger

What the source said when we opened it, on 13 Oct 2026.

The source

AI Models Can Provably Hide Arbitrary Capabilities
arXiv · 2026-10-09

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Checked

Checked by the notis newsroom on 13 Oct 2026, against the source above.

In the story

Authors say backdoored models can hide encrypted capabilities provably hard to elicit 13 Oct 2026

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“The abstract says the authors construct "backdoor attacks that embed encrypted neural networks within host model weights, decrypting and executing them only upon receiving a secret trigger.".” ai notis, checked 13 Oct 2026. Source: AI Models Can Provably Hide Arbitrary Capabilities (arXiv). https://ainotis.com/c/1326

As a reference (APA style)

ai notis. (2026, October 13). The abstract says the authors construct "backdoor attacks that embed encrypted neural networks within host model weights, decrypting and executing them only upon receiving a secret trigger." [Checked claim 1326]. ai notis. https://ainotis.com/c/1326

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