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