How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="CyberDataLab/BigBird_Syscall_Malware")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("CyberDataLab/BigBird_Syscall_Malware")
model = AutoModelForSequenceClassification.from_pretrained("CyberDataLab/BigBird_Syscall_Malware")
Quick Links

BigBird model trained on syscalls for malware detection.

It has five labels: Normal and four types of malware: Bashlite, TheTick, Bdvl, RansomwarePoC

Dataset: https://ieee-dataport.org/documents/malwspecsys-dataset-containing-syscalls-iot-spectrum-sensor-affected-heterogeneous-malware

Paper: https://arxiv.org/abs/2405.09318

Published at IEEE MILCOM 2024

Uploaded by https://huggingface.co/pedromiguelsanchez

Downloads last month
10
Safetensors
Model size
0.1B params
Tensor type
F32
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Paper for CyberDataLab/BigBird_Syscall_Malware