[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 …

Large language models for cyber security: A systematic literature review

HX Xu, SA Wang, N Li, K Wang, Y Zhao, K Chen… - arXiv preprint arXiv …, 2024 - arxiv.org
The rapid advancement of Large Language Models (LLMs) has opened up new
opportunities for leveraging artificial intelligence in various domains, including cybersecurity …

Llm4vuln: A unified evaluation framework for decoupling and enhancing llms' vulnerability reasoning

Y Sun, D Wu, Y Xue, H Liu, W Ma, L Zhang… - arXiv preprint arXiv …, 2024 - arxiv.org
Large language models (LLMs) have demonstrated significant potential in various tasks,
including vulnerability detection. However, current efforts in this area are preliminary, lacking …

From llms to llm-based agents for software engineering: A survey of current, challenges and future

H Jin, L Huang, H Cai, J Yan, B Li, H Chen - arXiv preprint arXiv …, 2024 - arxiv.org
With the rise of large language models (LLMs), researchers are increasingly exploring their
applications in var ious vertical domains, such as software engineering. LLMs have …

Large language models for blockchain security: A systematic literature review

Z He, Z Li, S Yang, A Qiao, X Zhang, X Luo… - arXiv preprint arXiv …, 2024 - arxiv.org
Large Language Models (LLMs) have emerged as powerful tools across various domains
within cyber security. Notably, recent studies are increasingly exploring LLMs applied to the …

Large language model-based agents for software engineering: A survey

J Liu, K Wang, Y Chen, X Peng, Z Chen… - arXiv preprint arXiv …, 2024 - arxiv.org
The recent advance in Large Language Models (LLMs) has shaped a new paradigm of AI
agents, ie, LLM-based agents. Compared to standalone LLMs, LLM-based agents …

Harmful fine-tuning attacks and defenses for large language models: A survey

T Huang, S Hu, F Ilhan, SF Tekin, L Liu - arXiv preprint arXiv:2409.18169, 2024 - arxiv.org
Recent research demonstrates that the nascent fine-tuning-as-a-service business model
exposes serious safety concerns--fine-tuning over a few harmful data uploaded by the users …

[PDF][PDF] Lazy safety alignment for large language models against harmful fine-tuning

T Huang, S Hu, F Ilhan, SF Tekin… - arXiv preprint arXiv …, 2024 - openreview.net
Recent studies show that Large Language Models (LLMs) with safety alignment can be jail-
broken by fine-tuning on a dataset mixed with harmful data. First time in the literature, we …

Towards Understanding the Effectiveness of Large Language Models on Directed Test Input Generation

Z Jiang, M Wen, J Cao, X Shi, H Jin - Proceedings of the 39th IEEE/ACM …, 2024 - dl.acm.org
Automatic testing has garnered significant attention and success over the past few decades.
Techniques such as unit testing and coverage-guided fuzzing have revealed numerous …

Combining Fine-Tuning and LLM-based Agents for Intuitive Smart Contract Auditing with Justifications

W Ma, D Wu, Y Sun, T Wang, S Liu, J Zhang… - arXiv preprint arXiv …, 2024 - arxiv.org
Smart contracts are decentralized applications built atop blockchains like Ethereum. Recent
research has shown that large language models (LLMs) have potential in auditing smart …