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Tian-Xing He

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#machine learning Preprint Oct 2026

RMCW: A Deletion-Robust Watermark Based on Reed--Muller Codes for Language Models

Large Language Model (LLM) watermarking provides a lightweight mechanism for identifying text generated by a specific model, but its robustness remains fragile under post-processing attacks. Deletion attacks are particularly challenging because they shift token positions and break the alignment between observed tokens...

Yi Wang, Bai-Cheng Chen, Yu Wang et al. · 0 citations

Defending Against Malicious Finetuning by Scaling Train-time Adversarial Attacks

Patcher is a novel and efficient adversarial training algorithm that alternates between an attack stage and a defense stage: the attack stage simulates many-step malicious finetuning and computes the resulting parameter displacement as an"attack vector", while the defense stage aims to preserve safe behavior under such...

Hao-Min Wen, Shi Chen, Qingyu Shi et al. · 0 citations

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