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Prompt Saturation Attack Detector
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Prompt Saturation Attack Detector
Developed by GuardrailsAI
A small BERT model for detecting saturation-type jailbreak attacks, not suitable for independently defending against other types of jailbreak attacks.
Downloads 4,762
Release Time : 11/7/2024
Model Overview
This model is a small pre-filter based on the BERT architecture, specifically designed to detect partial saturation attacks, serving as a component in the defense against machine learning system abuse.
Model Features
Focused on Saturation Attack Detection
Specifically designed for saturation-type jailbreak attacks with targeted detection capabilities.
Lightweight Model
Based on the bert-tiny architecture with low computational resource requirements.
Security Protection Component
Serves as a pre-filter component in a comprehensive security protection solution.
Model Capabilities
Jailbreak Attack Detection
Text Classification
Security Threat Identification
Use Cases
AI Security Protection
Large Language Model Security Protection
Acts as a front-end security filter for large language model systems.
Can identify specific types of jailbreak attack attempts.
AI System Security Audit
Used to detect whether the system is under saturation attack.
Provides preliminary attack detection results.
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