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Permute-and-Flip: An optimally stable and watermarkable decoder for LLMs

Permute-and-Flip: An optimally stable and watermarkable decoder for LLMs

8 February 2024
Xuandong Zhao
Lei Li
Yu-Xiang Wang
ArXivPDFHTML

Papers citing "Permute-and-Flip: An optimally stable and watermarkable decoder for LLMs"

5 / 5 papers shown
Title
Defending LLM Watermarking Against Spoofing Attacks with Contrastive Representation Learning
Defending LLM Watermarking Against Spoofing Attacks with Contrastive Representation Learning
Li An
Yujian Liu
Y. Liu
Yang Zhang
Yuheng Bu
Shiyu Chang
AAML
70
0
0
09 Apr 2025
Watermarking Makes Language Models Radioactive
Watermarking Makes Language Models Radioactive
Tom Sander
Pierre Fernandez
Alain Durmus
Matthijs Douze
Teddy Furon
WaLM
29
11
0
22 Feb 2024
On the Safety of Open-Sourced Large Language Models: Does Alignment
  Really Prevent Them From Being Misused?
On the Safety of Open-Sourced Large Language Models: Does Alignment Really Prevent Them From Being Misused?
Hangfan Zhang
Zhimeng Guo
Huaisheng Zhu
Bochuan Cao
Lu Lin
Jinyuan Jia
Jinghui Chen
Di Wu
70
23
0
02 Oct 2023
Robust Multi-bit Natural Language Watermarking through Invariant
  Features
Robust Multi-bit Natural Language Watermarking through Invariant Features
Kiyoon Yoo
Wonhyuk Ahn
Jiho Jang
Nojun Kwak
WaLM
136
76
0
03 May 2023
Permute-and-Flip: A new mechanism for differentially private selection
Permute-and-Flip: A new mechanism for differentially private selection
Ryan McKenna
Daniel Sheldon
105
47
0
23 Oct 2020
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