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Fmops Distilbert Prompt Injection Onnx
This is the ONNX format conversion of the fmops/distilbert-prompt-injection model, designed for detecting prompt injection attacks.
Downloads 23
Release Time : 11/30/2023
Model Overview
Based on the DistilBERT architecture, this model is specifically designed to detect and classify prompt injection attacks, protecting AI systems from malicious inputs.
Model Features
ONNX Format
The model has been converted to ONNX format for easier deployment and inference across different platforms.
Prompt Injection Detection
Specifically designed to identify and classify prompt injection attacks, ensuring AI system security.
Lightweight
Based on the DistilBERT architecture, it is more lightweight and efficient compared to the original BERT model.
Model Capabilities
Text Classification
Malicious Input Detection
Prompt Injection Identification
Use Cases
AI Security
Prompt Injection Attack Detection
Detects whether user inputs contain malicious prompts attempting to manipulate AI systems.
Effectively identifies potential prompt injection attacks, safeguarding system security.
Content Moderation
Malicious Input Filtering
Filters out malicious or anomalous inputs that could harm AI systems.
Enhances the robustness and security of AI systems.
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