Utilization of Large Language Models for conformity assessment: Chances, Threats, and Mitigations

Assessing the conformity of software in measurement instruments is a laborious process and a major bottleneck in the process of developing new devices.Large Language Models have been shown to effectively handle complex tasks and have the ability to surpass humans with regard to speed and accuracy.However, integrating them into the technology stack can bring major security and privacy risks.This position paper performs a threat modeling in this context.By addressing the discovered confidentiality risks the paper draws a way for safely implementing Large Language Models as an essential tool in the process of conformity assessment.

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Publication Details

Journal
Annals of Computer Science and Information Systems
Published
2025-10-15
DOI
https://doi.org/10.15439/2025f7772
Primary Topic
Privacy-Preserving Technologies in Data
Type
article
Field-Weighted Citation Impact
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article

Utilization of Large Language Models for conformity assessment: Chances, Threats, and Mitigations

Daniel Peters, Florian Thiel, Florian Tschorsch, János Litzinger
Annals of Computer Science and Information Systems
Privacy-Preserving Technologies in Data
article

Utilization of Large Language Models for conformity assessment: Chances, Threats, and Mitigations

Daniel Peters, Florian Thiel, Florian Tschorsch, János Litzinger
article en

Abstract

Assessing the conformity of software in measurement instruments is a laborious process and a major bottleneck in the process of developing new devices.Large Language Models have been shown to effectively handle complex tasks and have the ability to surpass humans with regard to speed and accuracy.However, integrating them into the technology stack can bring major security and privacy risks.This position paper performs a threat modeling in this context.By addressing the discovered confidentiality risks the paper draws a way for safely implementing Large Language Models as an essential tool in the process of conformity assessment.

Annals of Computer Science and Information SystemsVol. 44
Physikalisch-Technische Bundesanstalt (DE), Technische Universität Dresden (DE)
Openalex Percentile: Top 53%
Privacy-Preserving Technologies in Data
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