14 citations · 19 across the 4 of their papers we have counts for
4 papers
Large Language Models Are Unreliable for Cyber Threat Intelligence
Emanuele Mezzi, Fabio Massacci, Katja Tuma
Several recent works have argued that Large Language Models (LLMs) can be used to tame the data deluge in the cybersecurity field, by improving the automation of Cyber Threat Intel…
The Equality Maturity Model: an actionable tool to advance gender balance in leadership and participation roles
Paloma Díaz, Paula Alexandra Silva, Katja Tuma
The underrepresentation of women in Computer Science and Engineering is a pervasive issue, impacting the enrolment and graduation rates of female students as well as the presence o…
Risks of ignoring uncertainty propagation in AI-augmented security pipelines
Emanuele Mezzi, Aurora Papotti, Fabio Massacci +1
The use of AI technologies is being integrated into the secure development of software-based systems, with an increasing trend of composing AI-based subsystems (with uncertain leve…
Analyzing and Mitigating (with LLMs) the Security Misconfigurations of Helm Charts from Artifact Hub
Francesco Minna, Fabio Massacci, Katja Tuma
Background: Helm is a package manager that allows defining, installing, and upgrading applications with Kubernetes (K8s), a popular container orchestration platform. A Helm chart i…