# LLM Security Protection

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 security protection model fine-tuned based on DeBERTa-v3-large, used to detect unsafe content in conversations with large language models and prevent jailbreak attacks.

GenTel-Shield is a model focused on detecting and defending against prompt injection attacks, effectively distinguishing malicious samples from benign ones.

PromptGuard is a text classification model designed to detect and protect against LLM prompt attacks, capable of identifying malicious prompt injections and jailbreak attempts.

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

A 7-billion-parameter Llama 2-based security protection model for classifying the safety of LLM input and output content

A malicious prompt detection model fine-tuned on RoBERTa, capable of identifying prompts that induce the generation of phishing websites/emails

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.