Efficient Detection of Toxic Prompts in Large Language Models

Large language models (LLMs) like ChatGPT and Gemini have significantly advanced natural language processing, enabling various applications such as chatbots and automated content generation. However, these models can be exploited by malicious individuals who craft toxic prompts to elicit harmful or...

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Bibliographic Details
Published in:	IEEE/ACM International Conference on Automated Software Engineering : [proceedings] pp. 455 - 467
Main Authors:	Liu, Yi, Yu, Junzhe, Sun, Huijia, Shi, Ling, Deng, Gelei, Chen, Yuqi, Liu, Yang
Format:	Conference Proceeding
Language:	English
Published:	ACM 27.10.2024
Subjects:	Accuracy ai security Chatbots detection Feature extraction Glass box jailbreak large language model Large language models llm llm security Real-time systems Safety Scalability Software engineering toxic prompt Vectors
ISSN:	2643-1572
Online Access:	Get full text
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