%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%23061b40;%20}%20.st1%20{%20fill:%20%23306af1;%20}%20.st2%20{%20fill:%20%235ce5cf;%20}%20%3c/style%3e%3c/defs%3e%3cg%3e%3cpath%20class='st0'%20d='M55,10.5h9v3h-9v9h12V7.5h-12v3ZM64,19.5h-6v-3h6v3Z'/%3e%3cpolygon%20class='st0'%20points='69%2016.5%2078%2016.5%2078%2019.5%2069%2019.5%2069%2022.5%2081%2022.5%2081%2013.5%2072%2013.5%2072%2010.5%2081%2010.5%2081%207.5%2069%207.5%2069%2016.5'/%3e%3cpolygon%20class='st0'%20points='95%2010.5%2095%207.5%2083%207.5%2083%2022.5%2095%2022.5%2095%2019.5%2086%2019.5%2086%2016.5%2095%2016.5%2095%2013.5%2086%2013.5%2086%2010.5%2095%2010.5'/%3e%3cpath%20class='st0'%20d='M40,1.5v21h11.6l1.4-1.4v-7.6h0c0,0-1.4-1.5-1.4-1.5l1.4-1.4V2.9l-1.4-1.4h-11.6ZM50,19.5h-7v-6h7v6ZM50,10.5h-7v-6h7v6Z'/%3e%3c/g%3e%3cpath%20class='st1'%20d='M23.1,24L14.7,4.8l-4.9,11.2h3.8l-1.8,4H3.3L12.1,0H2C.9,0,0,.9,0,2v20c0,1.1.9,2,2,2h21.1Z'/%3e%3cpath%20class='st2'%20d='M34,0h-16.8l10.6,24h6.2c1.1,0,2-.9,2-2V2C36,.9,35.1,0,34,0ZM32.5,20h-4V4h4v16Z'/%3e%3c/svg%3e)
Secroberta
SecRoBERTa is a pretrained language model trained on cybersecurity texts, optimized for tasks in the cybersecurity domain.
Downloads 16.75k
Release Time : 3/2/2022
Model Overview
SecRoBERTa is a pretrained language model based on the RoBERTa architecture, specifically trained on cybersecurity domain texts. By utilizing cybersecurity-related corpora (such as APTnotes, Stucco-Data, etc.) and a custom vocabulary (secvocab), it enhances performance in downstream cybersecurity tasks such as named entity recognition, text classification, and semantic understanding.
Model Features
Cybersecurity Domain Optimization
Trained using domain-specific corpora in cybersecurity to improve performance on related tasks.
Custom Vocabulary
Uses a custom vocabulary (secvocab) designed for cybersecurity texts to enhance text matching and processing efficiency.
Multi-Source Training Data
Integrates multiple cybersecurity data sources, including APTnotes, Stucco-Data, CASIE, and SemEval-2018 Task 8.
Model Capabilities
Named Entity Recognition
Text Classification
Semantic Understanding
Question Answering
Masked Language Modeling
Use Cases
Cybersecurity Analysis
Security Report Analysis
Extracts key information from cybersecurity reports, such as attack types, affected systems, and timelines.
Compared to general-purpose models, it more accurately identifies cybersecurity-related terms and concepts.
Threat Intelligence Processing
Processes and analyzes threat intelligence data to identify potential security threats and attack patterns.
Improves the accuracy and efficiency of threat intelligence processing.
Security Event Detection
Security Event Identification
Identifies and classifies security events from text, such as data breaches and malware attacks.
Compared to general-purpose models, it more accurately identifies and classifies security events.
Featured Recommended AI Models