Search Results for author:
Found 3 papers, 0 papers with code
Talk Too Much: Poisoning Large Language Models under Token Limit
To enhance the stealthiness of the trigger, we present a poisoning attack against LLMs that is triggered by a generation/output condition-token limitation, which is a commonly adopted strategy by users for reducing costs.
Rapid Adoption, Hidden Risks: The Dual Impact of Large Language Model Customization
The increasing demand for customized Large Language Models (LLMs) has led to the development of solutions like GPTs.
Color Backdoor: A Robust Poisoning Attack in Color Space
To make the trigger more imperceptible and human-unnoticeable, a variety of stealthy backdoor attacks have been proposed, some works employ imperceptible perturbations as the backdoor triggers, which restrict the pixel differences of the triggered image and clean image.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
