Exploring Vulnerabilities: An Analysis of Attacks on Large Language Models
Research Area: | Volume 14, Issue 1, Jan. 2025 | Year: | 2025 |
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Type of Publication: | Article | Keywords: | Large Language Models, Exploring Vulnerabilities, Analysis |
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Journal: | IJEIR | Volume: | 14 |
Number: | 1 | Pages: | 1-4 |
Month: | January | ||
ISSN: | 2277-5668 | ||
Abstract: | Large Language Models (LLMs) have demonstrated remarkable capabilities in natural language understanding and generation. However, their increasing deployment has raised concerns about their robustness and security. This paper provides a comprehensive survey of various attacks on LLMs, categorizing them into different types and analyzing their impacts. Using detailed tables, we summarize key findings and highlight trends in attack methodologies. The paper concludes with a discussion on potential defense mechanisms and future research directions. |
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