一作ACL 2026Poster· Natural Language Processing
Rendering Data Unlearnable by Exploiting LLM Alignment Mechanisms
Ruihan Zhang · Jun Sun
摘要
Large language models (LLMs) are increasingly trained on massive, heterogeneous text corpora, raising serious concerns about the unauthorised use of proprietary or personal data during model training. In this work, we address the problem of data protection against unwanted model learning in a rea...