Evaluating Prompt Injection Attacks with LSTM-Based Generative Adversarial Networks: A Lightweight Alternative to Large Language Models

Generative Adversarial Networks (GANs) using Long Short-Term Memory (LSTM) provide a computationally cheaper approach for text generation compared to large language models (LLMs). The low hardware barrier of training GANs poses a threat because it means more bad actors may use them to mass-produce p...

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發表在:	Machine Learning and Knowledge Extraction
Main Authors:	Sharaf Rashid, Edson Bollis, Lucas Pellicer, Darian Rabbani, Rafael Palacios, Aneesh Gupta, Amar Gupta
格式:	Article
語言:	英语
出版:	MDPI AG 2025-08-01
主題:	AI Cybersecurity adversarial prompts large language models Generative Adversarial Network
在線閱讀:	https://www.mdpi.com/2504-4990/7/3/77