SECURE: Benchmarking Generative Large Language Models for Cybersecurity Advisory

no code implementations • 30 May 2024 • Dipkamal Bhusal, Md Tanvirul Alam, Le Nguyen, Ashim Mahara, Zachary Lightcap, Rodney Frazier, Romy Fieblinger, Grace Long Torales, Nidhi Rastogi

Large Language Models (LLMs) have demonstrated potential in cybersecurity applications but have also caused lower confidence due to problems like hallucinations and a lack of truthfulness.

MORPH: Towards Automated Concept Drift Adaptation for Malware Detection

no code implementations • 23 Jan 2024 • Md Tanvirul Alam, Romy Fieblinger, Ashim Mahara, Nidhi Rastogi

Concept drift is a significant challenge for malware detection, as the performance of trained machine learning models degrades over time, rendering them impractical.

Active Learning Malware Detection +2