[!WARNING] THIS PROJECT HAS BEEN ARCHIVED. This project and its associated code on GitHub are no longer under active development or maintained. Model Card for deberta v3 base prompt injection v2 This model is a fine tuned version of microsoft/deberta v3 base specifically developed to detect and classify prompt injection attacks which can manipulate language models into producing unintended outputs. Introduction Prompt injection attacks manipulate language models by inserting or altering prompts to trigger harmful or unintended responses. The deberta v3 base prompt injection v2 model is designed to enhance security in language model applications by detecting these malicious interventions. Model Details Fine tuned by: Protect AI Model type: deberta v3 base Language(s) (NLP): English License: Apache License 2.0 Finetuned from model: microsoft/deberta v3 base Intended Uses This model classifies inputs into benign ( 0 ) and injection detected ( 1 ). Limitations deberta v3 base prompt injection v2 is highly accurate in identifying prompt injections in English. It does not detect jailbreak attacks or handle non English prompts, which may limit its applicability in diverse linguistic envir…
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