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Using Deep Neural Networks to Translate Multi-lingual Threat Intelligence
We create a neural network based system that takes in cybersecurity data in a different language and outputs the respective English translation.
Generating Fake Cyber Threat Intelligence Using Transformer-Based Models
We evaluate with traditional approaches and conduct a human evaluation study with cybersecurity professionals and threat hunters.
Recognizing and Extracting Cybersecurtity-relevant Entities from Text
Cyber Threat Intelligence (CTI) is information describing threat vectors, vulnerabilities, and attacks and is often used as training data for AI-based cyber defense systems such as Cybersecurity Knowledge Graphs (CKG).
Scaling Studies for Efficient Parameter Search and Parallelism for Large Language Model Pre-training
AI accelerator processing capabilities and memory constraints largely dictate the scale in which machine learning workloads (e. g., training and inference) can be executed within a desirable time frame.
FABULA: Intelligence Report Generation Using Retrieval-Augmented Narrative Construction
Intelligence analysis is an example of a domain that can benefit tremendously from narrative construction techniques, particularly in aiding analysts during the largely manual and costly process of synthesizing event information into comprehensive intelligence reports.
