LLM Backdoor Triggers Targeted By New Unlearning Method
Researchers have proposed a new method for removing unknown triggers from Large Language Models. This approach, termed Backdoor Unlearning Generalization, aims to address growing security concerns related to backdoor attacks in LLMs.
Topics
Developing
- 883d Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore.
- 883d Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
- 883d Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est.
- 883d Sed ut perspiciatis unde omnis iste natus error sit voluptatem accusantium doloremque laudantium.
Sources · 7 independent
Modernity/arxiv
“Backdoor Unlearning Generalization: A Path Toward the Removal of Unknown Triggers in LLMs.”
Unlock the full story
Get a Pro subscription or above to see the live story progression and the full list of independent sources confirming each event as they happen.
Log in to upgrade