Large Language Models (LLMs) have recently demonstrated remarkable capabilities in
natural language processing tasks and beyond. This success of LLMs has led to a large …

Generative models are rapidly gaining popularity and being integrated into everyday
applications, raising concerns over their safe use as various vulnerabilities are exposed. In …

Large language models (LLMs) have exhibited remarkable efficacy and proficiency in a
wide array of NLP endeavors. Nevertheless, concerns are growing rapidly regarding the …

Large Language Models (LLMs) have the capacity to store and recall facts. Through
experimentation with open-source models, we observe that this ability to retrieve facts can …

With the great advancements in large language models (LLMs), adversarial attacks against
LLMs have recently attracted increasing attention. We found that pre-existing adversarial …

The integration of artificial intelligence (AI) technology, particularly large language models
(LLMs), has become essential across various sectors due to their advanced language …

Abstract Large Language Models (LLMs) have rapidly advanced and garnered increasing
attention due to their remarkable capabilities across various applications. However …

This paper proposes a simple yet effective jailbreak attack named FlipAttack against black-
box LLMs. First, from the autoregressive nature, we reveal that LLMs tend to understand the …

The utilization of large foundational models has a dilemma: while fine-tuning downstream
tasks from them holds promise for making use of the well-generalized knowledge in practical …

Large Vision-Language Models (LVLMs), trained on multimodal big datasets, have
significantly advanced AI by excelling in vision-language tasks. However, these models …