GPT-like Pre-Training on Unlabeled System Logs for Malware Detection

Explore a cutting-edge approach to malware detection in this 48-minute conference talk from TROOPERS23 IT security conference. Delve into the innovative use of GPT-like pre-training on unlabeled system logs as Dmitrijs Trizna and Luca Demetrio present their research. Gain insights into how this technique can enhance cybersecurity measures and improve the identification of malicious software. Learn about the potential applications and implications of this method for IT security professionals and researchers. Discover how machine learning and natural language processing techniques are being adapted to tackle complex cybersecurity challenges.

TROOPERS23: GPT-like Pre-Training on Unlabeled System Logs for Malware Detection