INTEL_REPORT
arXiv — Cryptography & Security (cs.CR) · published 5/13/2026, 4:00:00 AM · TLP amber
Summary
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PASA: A Principled Embedding-Space Watermarking Approach for LLM-Generated Text under Semantic-Invariant Attacks arXiv:2605.10977v1 Announce Type: new Abstract: Watermarking for large language models (LLMs) is a promising approach for detecting LLM-generated text and enabling responsible deployment. However, existing watermarking methods are often vulnerable to semantic-invariant attacks, such as paraphrasing. We propose PASA, a principled, robust, and distortion-free waterm…
https://arxiv.org/abs/2605.10977
sha256:e9b35abf6d9e090ffa8c9a8421bfea9f91e6df17976c061236ef3bafbe57d677
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