Rule-based network intrusion detection systems play a crucial role in the real-time detection of Web attacks. However, most existing works primarily...
Large Vision-Language Models (LVLMs) unlock powerful multimodal reasoning but also expand the attack surface, particularly through adversarial inputs...
João A. Leite, Arnav Arora, Silvia Gargova +5 more
Large Language Models (LLMs) can generate human-like disinformation, yet their ability to personalise such content across languages and demographics...
With the increasing integration of large language models (LLMs) into open-domain writing, detecting machine-generated text has become a critical task...
The increasing demand for software development has driven interest in automating software engineering (SE) tasks using Large Language Models (LLMs)....
Deeksha Hareesha Kulal, Chidozie Princewill Arannonu, Afsah Anwar +2 more
Phishing remains a critical cybersecurity threat, especially with the advent of large language models (LLMs) capable of generating highly convincing...
In living off the land attacks, malicious actors use legitimate tools and processes already present on a system to avoid detection. In this paper, we...
Alexander Sternfeld, Andrei Kucharavy, Ljiljana Dolamic
Large language Models (LLMs) have shown remarkable proficiency in code generation tasks across various programming languages. However, their outputs...