Large language models for software engineering: A systematic literature review

X Hou, Y Zhao, Y Liu, Z Yang, K Wang, L Li… - arXiv preprint arXiv …, 2023 - arxiv.org
Large Language Models (LLMs) have significantly impacted numerous domains, notably
including Software Engineering (SE). Nevertheless, a well-rounded understanding of the …

[HTML][HTML] A survey on large language model (llm) security and privacy: The good, the bad, and the ugly

Y Yao, J Duan, K Xu, Y Cai, Z Sun, Y Zhang - High-Confidence Computing, 2024 - Elsevier
Abstract Large Language Models (LLMs), such as ChatGPT and Bard, have revolutionized
natural language understanding and generation. They possess deep language …

The rise and potential of large language model based agents: A survey

Z Xi, W Chen, X Guo, W He, Y Ding, B Hong… - arXiv preprint arXiv …, 2023 - arxiv.org
For a long time, humanity has pursued artificial intelligence (AI) equivalent to or surpassing
the human level, with AI agents considered a promising vehicle for this pursuit. AI agents are …

Promptbench: Towards evaluating the robustness of large language models on adversarial prompts

K Zhu, J Wang, J Zhou, Z Wang, H Chen… - arXiv preprint arXiv …, 2023 - arxiv.org
The increasing reliance on Large Language Models (LLMs) across academia and industry
necessitates a comprehensive understanding of their robustness to prompts. In response to …

Exploiting programmatic behavior of llms: Dual-use through standard security attacks

D Kang, X Li, I Stoica, C Guestrin… - 2024 IEEE Security …, 2024 - ieeexplore.ieee.org
Recent advances in instruction-following large language models (LLMs) have led to
dramatic improvements in a range of NLP tasks. Unfortunately, we find that the same …

Gptfuzzer: Red teaming large language models with auto-generated jailbreak prompts

J Yu, X Lin, X Xing - arXiv preprint arXiv:2309.10253, 2023 - arxiv.org
Large language models (LLMs) have recently experienced tremendous popularity and are
widely used from casual conversations to AI-driven programming. However, despite their …

Combating misinformation in the age of llms: Opportunities and challenges

C Chen, K Shu - AI Magazine, 2023 - Wiley Online Library
Misinformation such as fake news and rumors is a serious threat for information ecosystems
and public trust. The emergence of large language models (LLMs) has great potential to …

Survey of vulnerabilities in large language models revealed by adversarial attacks

E Shayegani, MAA Mamun, Y Fu, P Zaree… - arXiv preprint arXiv …, 2023 - arxiv.org
Large Language Models (LLMs) are swiftly advancing in architecture and capability, and as
they integrate more deeply into complex systems, the urgency to scrutinize their security …

Large language model alignment: A survey

T Shen, R Jin, Y Huang, C Liu, W Dong, Z Guo… - arXiv preprint arXiv …, 2023 - arxiv.org
Recent years have witnessed remarkable progress made in large language models (LLMs).
Such advancements, while garnering significant attention, have concurrently elicited various …

[PDF][PDF] Tree of attacks: Jailbreaking black-box llms automatically

A Mehrotra, M Zampetakis, P Kassianik… - arXiv preprint arXiv …, 2023 - ciso2ciso.com
Abstract While Large Language Models (LLMs) display versatile functionality, they continue
to generate harmful, biased, and toxic content, as demonstrated by the prevalence of …