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SemStamp: A Semantic Watermark with Paraphrastic Robustness for Text Generation
April 23, 2024, 4:50 a.m. | Abe Bohan Hou, Jingyu Zhang, Tianxing He, Yichen Wang, Yung-Sung Chuang, Hongwei Wang, Lingfeng Shen, Benjamin Van Durme, Daniel Khashabi, Yulia Tsvet
cs.CL updates on arXiv.org arxiv.org
Abstract: Existing watermarking algorithms are vulnerable to paraphrase attacks because of their token-level design. To address this issue, we propose SemStamp, a robust sentence-level semantic watermarking algorithm based on locality-sensitive hashing (LSH), which partitions the semantic space of sentences. The algorithm encodes and LSH-hashes a candidate sentence generated by an LLM, and conducts sentence-level rejection sampling until the sampled sentence falls in watermarked partitions in the semantic embedding space. A margin-based constraint is used to enhance …
abstract algorithm algorithms arxiv attacks cs.cl design hashes hashing issue lsh robust robustness semantic space text text generation the algorithm token type vulnerable watermark watermarking
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