metadata

language: en
thumbnail: https://github.com/jackaduma
tags:
  - exbert
  - security
  - cybersecurity
  - cyber security
  - threat hunting
  - threat intelligence
license: apache-2.0
datasets:
  - APTnotes
  - Stucco-Data
  - CASIE

SecRoBERTa

This is the pretrained model presented in SecBERT: A Pretrained Language Model for Cyber Security Text, which is a SecRoBERTa model trained on cyber security text.

The training corpus was papers taken from

APTnotes
Stucco-Data: Cyber security data sources
CASIE: Extracting Cybersecurity Event Information from Text
SemEval-2018 Task 8: Semantic Extraction from CybersecUrity REports using Natural Language Processing (SecureNLP).

SecRoBERTa has its own wordpiece vocabulary (secvocab) that's built to best match the training corpus.

We trained SecBERT and SecRoBERTa versions.

Available models include:

SecBERT
SecRoBERTa

Fill Mask

We proposed to build language model which work on cyber security text, as result, it can improve downstream tasks (NER, Text Classification, Semantic Understand, Q&A) in Cyber Security Domain.

First, as below shows Fill-Mask pipeline in Google Bert, AllenAI SciBert and our SecBERT .

The original repo can be found here.