πCreds produces privacy-preserving verifiable credentials via trusted LLM inference on authenticated data, expanding claim types to unstructured sources and formalizing SCAE and ACPP threat models.
arXiv preprint arXiv:2601.22818 , year=
2 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 2representative citing papers
Adversarial fine-tuning evades activation-based steganography detection in five LLMs while preserving secret recovery, but a recontextualization dataset restores both ridge and MLP probe detectability.
citing papers explorer
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$\pi$Creds: Privately Inferred Credentials
πCreds produces privacy-preserving verifiable credentials via trusted LLM inference on authenticated data, expanding claim types to unstructured sources and formalizing SCAE and ACPP threat models.
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Now You (Still) See Me: Detecting Evasive Steganographic Payloads in LLMs
Adversarial fine-tuning evades activation-based steganography detection in five LLMs while preserving secret recovery, but a recontextualization dataset restores both ridge and MLP probe detectability.