A survey of attacks on large vision-language models: Resources, advances, and future trends

D Liu, M Yang, X Qu, P Zhou, Y Cheng… - arxiv preprint arxiv …, 2024 - arxiv.org
With the significant development of large models in recent years, Large Vision-Language
Models (LVLMs) have demonstrated remarkable capabilities across a wide range of …

Deepinception: Hypnotize large language model to be jailbreaker

X Li, Z Zhou, J Zhu, J Yao, T Liu, B Han - arxiv preprint arxiv:2311.03191, 2023 - arxiv.org
Despite remarkable success in various applications, large language models (LLMs) are
vulnerable to adversarial jailbreaks that make the safety guardrails void. However, previous …

Unique security and privacy threats of large language model: A comprehensive survey

S Wang, T Zhu, B Liu, M Ding, X Guo, D Ye… - arxiv preprint arxiv …, 2024 - arxiv.org
With the rapid development of artificial intelligence, large language models (LLMs) have
made remarkable advancements in natural language processing. These models are trained …

Against The Achilles' Heel: A Survey on Red Teaming for Generative Models

L Lin, H Mu, Z Zhai, M Wang, Y Wang, R Wang… - Journal of Artificial …, 2025 - jair.org
Generative models are rapidly gaining popularity and being integrated into everyday
applications, raising concerns over their safe use as various vulnerabilities are exposed. In …

Do LLMs dream of elephants (when told not to)? Latent concept association and associative memory in transformers

Y Jiang, G Rajendran, P Ravikumar… - Advances in Neural …, 2025 - proceedings.neurips.cc
Abstract 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 …

Tokenization matters! degrading large language models through challenging their tokenization

D Wang, Y Li, J Jiang, Z Ding, G Jiang, J Liang… - arxiv preprint arxiv …, 2024 - arxiv.org
Large Language Models (LLMs) have shown remarkable capabilities in language
understanding and generation. Nonetheless, it was also witnessed that LLMs tend to …

Survey of different large language model architectures: Trends, benchmarks, and challenges

M Shao, A Basit, R Karri, M Shafique - IEEE Access, 2024 - ieeexplore.ieee.org
Large Language Models (LLMs) represent a class of deep learning models adept at
understanding natural language and generating coherent responses to various prompts or …

LLM-Virus: Evolutionary Jailbreak Attack on Large Language Models

M Yu, J Fang, Y Zhou, X Fan, K Wang, S Pan… - arxiv preprint arxiv …, 2024 - arxiv.org
While safety-aligned large language models (LLMs) are increasingly used as the
cornerstone for powerful systems such as multi-agent frameworks to solve complex real …

[HTML][HTML] The potential of llms in hardware design

S Alsaqer, S Alajmi, I Ahmad, M Alfailakawi - Journal of Engineering …, 2024 - Elsevier
The unprecedented success of Large Language Models (LLMs) like ChatGPT across
diverse domains such as natural language understanding and coding has paved the way for …

A Survey on Responsible LLMs: Inherent Risk, Malicious Use, and Mitigation Strategy

H Wang, W Fu, Y Tang, Z Chen, Y Huang… - arxiv preprint arxiv …, 2025 - arxiv.org
While large language models (LLMs) present significant potential for supporting numerous
real-world applications and delivering positive social impacts, they still face significant …