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--- |
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license: mit |
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language: |
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- en |
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base_model: |
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- meta-llama/Prompt-Guard-86M |
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pipeline_tag: text-classification |
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datasets: |
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- SohamGhadge/casual-conversation |
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- tau/commonsense_qa |
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- AIR-Bench/qa_finance_en |
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- JailbreakBench/JBB-Behaviors |
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- rubend18/ChatGPT-Jailbreak-Prompts |
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- cstnz/Disaster-tweet-jailbreaking |
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- JailbreakV-28K/JailBreakV-28k |
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- Amod/mental_health_counseling_conversations |
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- talkmap/telecom-conversation-corpus |
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- truthfulqa/truthful_qa |
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- GEM/conversational_weather |
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--- |
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# katanemo/Arch-Guard-cpu |
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## Overview |
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The Katanemo Arch-Guard collection is a collection state-of-the-art (SOTA) LLMs specifically designed for **jailbreaking detection** tasks. |
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Definition: jailbreaking attempts are malicious prompts designed to alternate the intended behavior of the foundation LLM model of the application. They often violate the safety and security policies of the model. |
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Arch Guard is a classifier model fine-tuned based on the open source model [Prompt-Guard-86M](https://huggingface.co/meta-llama/Prompt-Guard-86M) on a collection of open-source datasets of jailbreaking attemps with an intention to improve |
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the capability of detecting jailbreaks only. |
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In summary, the Katanemo Arch-Guard collection demonstrates: |
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- **State-of-the-art performance** in jailbreaking attempts detection |
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- Optimized **low-latency, low False Positive Rate**, making it suitable for real-time, production environments, and best user experience. |
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| Dominant class = jailbreak | | | | | | | | |
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| -------------------------- | ------ | ------ | ------ | ------ | ----- | --------- | ------ | |
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| Model | TPR | TNR | FPR | FNR | AUC | Precision | Recall | |
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| Prompt-guard | 0.8468 | 0.9972 | 0.0028 | 0.1532 | 0.857 | 0.715 | 0.999 | |
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| Arch-guard | 0.8887 | 0.9970 | 0.0030 | 0.1113 | 0.880 | 0.761 | 0.999 | |
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## Requirements |
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The cpu model is quantized with OVM, please follow the instruction at https://github.com/huggingface/optimum-intel to install the package. |
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## Datasets |
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Evaluation dataset is from casual_conversation |
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[casual_conversation](https://huggingface.co/datasets/SohamGhadge/casual-conversation) |
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[commonqa](https://huggingface.co/datasets/tau/commonsense_qa) |
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[financeqa](https://huggingface.co/datasets/AIR-Bench/qa_finance_en) |
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[instruction](http://mbzuai/LaMini-instruction) |
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[jailbreak_behavior_benign](https://huggingface.co/datasets/JailbreakBench/JBB-Behaviors) |
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[jailbreak_behavior_harmful](https://huggingface.co/datasets/JailbreakBench/JBB-Behaviors) |
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[jailbreak_judge](https://huggingface.co/datasets/JailbreakBench/JBB-Behaviors) |
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[jailbreak_prompts](https://huggingface.co/datasets/rubend18/ChatGPT-Jailbreak-Prompts) |
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[jailbreak_tweet](https://huggingface.co/datasets/cstnz/Disaster-tweet-jailbreaking) |
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[jailbreak_v](https://huggingface.co/datasets/JailbreakV-28K/JailBreakV-28k) |
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[jailbreak_vigil](https://huggingface.co/datasets/deadbits/vigil-jailbreak-all-MiniLM-L6-v2) |
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[mental_health](https://huggingface.co/datasets/Amod/mental_health_counseling_conversations) |
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[telecom](https://huggingface.co/datasets/talkmap/telecom-conversation-corpus) |
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[truthqa](https://huggingface.co/datasets/truthfulqa/truthful_qa) |
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[weather](https://huggingface.co/datasets/GEM/conversational_weather) |
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## How to use |
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````python |
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from optimum.intel import OVModelForSequenceClassification |
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device = "cpu" |
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model_name = "katanemolabs/Arch-Guard-cpu" |
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guard_mode = OVModelForSequenceClassification.from_pretrained( |
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model_name, device_map=device, low_cpu_mem_usage=True |
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) |
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tokenizer = AutoTokenizer.from_pretrained( |
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model_name, trust_remote_code=True |
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) |
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```` |
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# License |
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Katanemo Arch-Guard-cpu is distributed under the [Katanemo license](https://huggingface.co/katanemolabs/Arch-Guard-cpu/blob/main/LICENSE). |
