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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التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	Sharaf Rashid, Edson Bollis, Lucas Pellicer, Darian Rabbani, Rafael Palacios, Aneesh Gupta, Amar Gupta
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	MDPI AG 2025-08-01
سلاسل:	Machine Learning and Knowledge Extraction
الموضوعات:	AI Cybersecurity adversarial prompts large language models Generative Adversarial Network
الوصول للمادة أونلاين:	https://www.mdpi.com/2504-4990/7/3/77
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!