Flip, Don't Shuffle: Watermarking LLMs at the Speed of Inference

arXiv:2609.03844 · cs.CR, cs.CL, cs.LG · Submitted 2026-09-03 · Read on arXiv

cs.CR, cs.CL, cs.LG

Submitted: 2026-09-03

Updated: 2026-09-03

Code: https://github.com/si-mon-jinn/sbw

Terminology

Perplexity — 24× in this paper · explained in 3 episodes
Benchmark — 16× in this paper · explained in 2 episodes
Robustness — 11× in this paper · explained in 5 episodes
AUC — 8× in this paper · explained in 2 episodes
Calibration — 6× in this paper · explained in 7 episodes
Transformer — 6× in this paper · explained in 2 episodes
Stateless Bernoulli Watermarking — 5× in this paper
Accuracy — 3× in this paper · explained in 1 episode
Generalization — 3× in this paper · explained in 13 episodes
Adam — 1× in this paper · explained in 2 episodes
Core — 1× in this paper · explained in 2 episodes
Elias — 1× in this paper · explained in 2 episodes
Generative Model — 1× in this paper · explained in 2 episodes
Generative Models — 1× in this paper · explained in 2 episodes
Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
Provenance — 1× in this paper · explained in 4 episodes
Systematic Bias — 1× in this paper · explained in 3 episodes
Transfer Learning — 1× in this paper · explained in 10 episodes
Verification — 1× in this paper · explained in 2 episodes

Sources

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