Can a Raspberry Pi 5 run Large Language Models? In this post, we share the results of our experiments, analyzing how LLMs perform on this low-cost hardware and exploring the challenges and performance trade-offs.
Exploring LLMs for Cybersecurity: Our ICAART 2024 Extension Paper
We’re excited to share our new ICAART extension paper, published in the Lecture Notes in Artificial Intelligence series. The paper explores how Large Language Models (LLMs) can be leveraged as agents for network security testing, outperforming traditional reinforcement learning methods in several scenarios. This research, including the introduction of our new NetSecGame environment, demonstrates the promise of LLMs in cybersecurity applications.
"LLM in the Shell: Generative Honeypots" to be presented at ESORICS 2023 Poster Session
We are happy to announce that our researcher, Muris Sladić, will present our latest research, “LLM in the Shell: Generative Honeypots”, at the upcoming ESORICS conference poster session in The Hague, Netherlands, on Monday, September 25, 2023. Whether you plan to attend the conference or want to learn more about this research, check out our paper. Our research proposes a novel use of Large Language Models (LLMs) for dynamic on-the-fly creation and generation of more engaging honeypot environments.