First reported theregister.com
Research · latest
First reported arxiv.org
Hollow-LLM Attack: Computationally Trivial Weights in Zero-Knowledge Verification of LLM Inference
A paper accepted to IEEE S&P 2026 introduces the Hollow-LLM Attack, in which a dishonest LLM provider embeds 'ghost weights' whose algebraic structure collapses effective computation while retaining the declared architecture and parameter count. Such witnesses satisfy zero-knowledge (ZK) inference verification circuits and yield valid proofs, letting a provider serve outputs at small-model cost while overclaiming model size, exposing an 'effort gap' where proof of correct inference is not proof of large-model execution. Details →How the wire is made
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