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Mdeberta V3 Base Prompt Injection
A prompt injection detection model fine-tuned based on microsoft/mdeberta-v3-base, trained with multiple datasets to identify malicious prompt injection attacks.
Downloads 136
Release Time : 4/10/2025
Model Overview
This model is specifically designed to detect prompt injection attacks in large language models, capable of identifying malicious instructions nested within legitimate content to ensure AI system security.
Model Features
Multi-source Data Training
Incorporates public and custom datasets, covering various injection attack patterns
Nested Content Detection
Capable of identifying malicious instructions hidden within legitimate website content or articles
Lightweight Deployment
Based on the high-performance mDeBERTa-v3 architecture, balancing detection accuracy and inference speed
Model Capabilities
Text Security Analysis
Malicious Instruction Identification
Multilingual Injection Detection
Use Cases
AI Security Protection
Chatbot Protection
Prevents users from bypassing AI security restrictions through carefully crafted prompts
Effectively blocks over 90% of known injection patterns (based on test data)
API Security Gateway
Deploys a detection layer at the front end of AI service APIs
Real-time blocking of malicious requests
Content Moderation
User-generated Content Screening
Detects covert instructions in forums/communities attempting to manipulate AI
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