# Prompt Injection Detection

Llama Prompt Guard 2 is a series of prompt attack detection models launched by Meta, including an upgraded 86M-parameter version and a lightweight 22M-parameter version, designed to detect prompt injection and jailbreak attacks in large language model applications.

A prompt injection detection model fine-tuned based on microsoft/mdeberta-v3-base, trained with multiple datasets to identify malicious prompt injection attacks.

TestSavantAI models are a set of fine-tuned classifiers specifically designed to defend against prompt injection and jailbreak attacks targeting large language models (LLMs).

The TestSavantAI model is a set of classifiers specifically designed to defend against prompt injection and jailbreak attacks in large language models (LLMs). The tiny version is based on the BERT-tiny architecture, balancing security and computational efficiency.

A prompt injection detection model fine-tuned on DeBERTa-v3-base, designed to identify malicious prompts that may manipulate language models

This is the ONNX format conversion of the fmops/distilbert-prompt-injection model, designed for detecting prompt injection attacks.

A DeBERTa-v3 fine-tuned model for prompt injection detection, designed to identify malicious prompt inputs

This is the ONNX-converted version of the deepset/deberta-v3-base-injection model for detecting prompt injection attacks.

A text classification model fine-tuned on bert-base-uncased for detecting jailbreak attempts in user prompts