5 papers
Hallucination-Resistant Security Planning with a Large Language Model
Kim Hammar, Tansu Alpcan, Emil Lupu
Large language models (LLMs) are promising tools for supporting security management tasks, such as incident response planning. However, their unreliability and tendency to hallucin…
Gen-Review: A Large-scale Dataset of AI-Generated (and Human-written) Peer Reviews
Luca Demetrio, Giovanni Apruzzese, Kathrin Grosse +4
How does the progressive embracement of Large Language Models (LLMs) affect scientific peer reviewing? This multifaceted question is fundamental to the effectiveness -- as well as…
Incident Response Planning Using a Lightweight Large Language Model with Reduced Hallucination
Kim Hammar, Tansu Alpcan, Emil C. Lupu
Timely and effective incident response is key to managing the growing frequency of cyberattacks. However, identifying the right response actions for complex systems is a major tech…
Securing the Internet of Medical Things (IoMT): Real-World Attack Taxonomy and Practical Security Measures
Suman Deb, Emil Lupu, Emm Mic Drakakis +4
The Internet of Medical Things (IoMT) has the potential to radically improve healthcare by enabling real-time monitoring, remote diagnostics, and AI-driven decision making. However…
Emerging Security Challenges of Large Language Models
Herve Debar, Sven Dietrich, Pavel Laskov +2
Large language models (LLMs) have achieved record adoption in a short period of time across many different sectors including high importance areas such as education [4] and healthc…