SEW: Style-Encoded Watermarking of LLM-Generated Code

arXiv:2609.39414 · cs.CR · Submitted 2026-09-30 · Read on arXiv

cs.CR

Submitted: 2026-09-30

Updated: 2026-09-30

Code: https://github.com/suhanmen/SEW

Project page: https://google.github.io/styleguide

Terminology

• AUROC — 32× in this paper · explained in 2 episodes
• Calibration — 26× in this paper · explained in 7 episodes
• Robustness — 10× in this paper · explained in 5 episodes
• Accuracy — 9× in this paper · explained in 1 episode
• Aggregation — 7× in this paper · explained in 1 episode
• Provenance — 3× in this paper · explained in 4 episodes
• Representation Learning — 2× in this paper · explained in 2 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Ablation study — 1× in this paper · explained in 1 episode
• Abstention — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Model Merging — 1× in this paper · explained in 2 episodes

Sources

• Gemma 4 Technical Report
• CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
• gpt-oss-120b & gpt-oss-20b Model Card
• Style2Code: A Style-Controllable Code Generation Framework with Dual-Modal Contrastive Representation Learning
• Robust and Secure Code Watermarking for Large Language Models via ML/Crypto Codesign

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