FaroukDaboussi0 / Fine-Tuning-LLMs-for-Cyber-Threat-IntelligenceLinks
This project aims to fine-tune a pre-trained LLM using CTI-specific data and evaluate its performance with CTIBench, a benchmark designed for cybersecurity tasks. CTIBench helps assess how well the model performs on tasks like identifying threat actors, mapping attack techniques, and correlating vulnerabilities
☆17Updated last year
Alternatives and similar repositories for Fine-Tuning-LLMs-for-Cyber-Threat-Intelligence
Users that are interested in Fine-Tuning-LLMs-for-Cyber-Threat-Intelligence are comparing it to the libraries listed below
Sorting:
- SYNAPSE (SYNthetic AI Pot for Security Enhancement) and SYNAPSE-to-MITRE code repository. This project has been realized for my MSc degre…☆16Updated last year
- ☆25Updated 4 years ago
- Code for shelLM tool☆57Updated 11 months ago
- ☆21Updated last year
- This repository contains attack chains generated by Aurora that can be reproduced in virtual environments.☆38Updated 5 months ago
- pretrained BERT model for cyber security text, learned CyberSecurity Knowledge☆204Updated 2 years ago
- A large-scale database of malicious software images☆49Updated 4 years ago
- Code for Benchmarking two ML Approaches performing Authorship Attribution☆43Updated 3 years ago
- SecureBERT is a domain-specific language model to represent cybersecurity textual data.☆109Updated last year
- Anomaly detection in network traffic and event logs using deep learning (w/ Pytorch)☆73Updated 6 years ago
- MEGR-APT: A Memory-Efficient APT Hunting System Based on Attack Representation Learning☆55Updated 4 months ago
- Cyber attack attribution is the process of attempting to trace back a piece of code or malware to a perpetrator of a cyberattack. As cybe…☆15Updated 4 years ago
- AttacKG: Constructing Knowledge-enhanced Attack Graphs from Cyber Threat Intelligence Reports☆175Updated 2 years ago
- A Deep Learning framework that analyses Windows PE files to detect malicious Softwares.☆76Updated 3 months ago
- SMET : Semantic Mapping of CVE to ATT&CK and its Application to Cybersecurity☆52Updated last year
- A curated dataset of malware and benign Windows executable samples for malware researchers☆51Updated last month
- Malware Classification using Machine learning☆75Updated last year
- ☆38Updated last year
- ☆38Updated last year
- A logic-based enterprise network security analyzer☆136Updated 2 years ago
- malicious PowerShell script detection model☆41Updated 4 years ago
- This is a dataset intended to train a LLM model for a completely CVE focused input and output.☆65Updated 6 months ago
- A python app to predict Att&ck tactics and techniques from cyber threat reports☆128Updated 2 years ago
- Public datasets to help you address various cyber security problems.☆461Updated 3 years ago
- Extracting Attack Behavior from Threat Reports☆80Updated 2 years ago
- A framework for synthesizing lateral movement login data.☆27Updated 4 years ago
- NLP model and tech for cyber security tasks☆87Updated 2 years ago
- An extended version of SecureBERT, trained on top of both base and large version of RoBERTa using 10 GB cybersecurity-related data☆31Updated last year
- Malware Bypass Research using Reinforcement Learning☆107Updated last year
- Defense from the 2020 Microsoft Evasion Competition☆17Updated 4 years ago