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papersSEP 12 04:00 UTC

CARTS: autoregressive rank transcoding enables full-capacity keyed text steganography

A new arXiv paper introduces CARTS, a method that uses autoregressive language models to hide a payload text inside a stegotext of the same token length. It preserves per-position rank information across contexts, which the authors formalize as Contextual Autoregressive Rank Transcoding. The approach targets full-capacity keyed text encoding, meaning the hidden message can occupy the entire token sequence rather than a limited subset.

arXiv CARTS autoregressive-language-models contextual-autoregressive-rank-transcoding full-capacity-keyed-text-encoding text-steganography

COVERAGE · 2 REPORTS · LINKS GO TO THE ORIGINAL OUTLETS

arXiv cs.LGCARTS: Contextual Autoregressive Rank Transcoding Steganography for Full-Capacity Keyed Text Encoding ↗SEP 11 04:00 UTC

arXiv cs.AICARTS: Contextual Autoregressive Rank Transcoding Steganography for Full-Capacity Keyed Text Encoding ↗SEP 12 04:00 UTC