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A Security Risk Taxonomy for Prompt-Based Interaction with Large Language Models

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F24%3A00376300" target="_blank" >RIV/68407700:21730/24:00376300 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1109/ACCESS.2024.3450388" target="_blank" >https://doi.org/10.1109/ACCESS.2024.3450388</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ACCESS.2024.3450388" target="_blank" >10.1109/ACCESS.2024.3450388</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A Security Risk Taxonomy for Prompt-Based Interaction with Large Language Models

  • Original language description

    As large language models (LLMs) permeate more and more applications, an assessment of their associated security risks becomes increasingly necessary. The potential for exploitation by malicious actors, ranging from disinformation to data breaches and reputation damage, is substantial. This paper addresses a gap in current research by specifically focusing on security risks posed by LLMs within the prompt-based interaction scheme, which extends beyond the widely covered ethical and societal implications. Our work proposes a taxonomy of security risks along the user-model communication pipeline and categorizes the attacks by target and attack type alongside the commonly used confidentiality, integrity, and availability (CIA) triad. The taxonomy is reinforced with specific attack examples to showcase the real-world impact of these risks. Through this taxonomy, we aim to inform the development of robust and secure LLM applications, enhancing their safety and trustworthiness.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/EH22_008%2F0004590" target="_blank" >EH22_008/0004590: Robotics and advanced industrial production</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    IEEE Access

  • ISSN

    2169-3536

  • e-ISSN

    2169-3536

  • Volume of the periodical

    12

  • Issue of the periodical within the volume

    August

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    12

  • Pages from-to

    126176-126187

  • UT code for WoS article

    001316171900001

  • EID of the result in the Scopus database

    2-s2.0-85202710051