The rapid advancement of Large Language Models (LLMs) has opened up new opportunities for leveraging artificial intelligence in various domains, including cybersecurity …
Large language models (LLMs) have demonstrated significant potential in various tasks, including vulnerability detection. However, current efforts in this area are preliminary, lacking …
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 (LLMs) have emerged as powerful tools across various domains within cyber security. Notably, recent studies are increasingly exploring LLMs applied to the …
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 …
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 …
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 …
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 …
Smart contracts are decentralized applications built atop blockchains like Ethereum. Recent research has shown that large language models (LLMs) have potential in auditing smart …