JailbreakTracer: Explainable Detection of Jailbreaking Prompts in LLMs Using Synthetic Data Generation

JailbreakTracer: Explainable Detection of Jailbreaking Prompts in LLMs Using Synthetic Data Generation

The emergence of Large Language Models (LLMs) has revolutionized natural language processing (NLP), enabling remarkable advancements across various applications. However, these models remain susceptible to adversarial prompts, commonly referred to as jailbreaks, which exploit their vulnerabilities t...

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Bibliographic Details
Main Authors: Md. Faiyaz Abdullah Sayeedi, Maaz Bin Hossain, Md. Kamrul Hassan, Sabrina Afrin, Molla Md. Sabit Hossain, Md. Shohrab Hossain
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Natural language processing
large language models
jailbreaking
text classification
synthetic data
generative AI
Online Access:https://ieeexplore.ieee.org/document/11036671/
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https://ieeexplore.ieee.org/document/11036671/

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