most citedOn the Limitations of Continual Learning for Malware Classification

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CR2025

MADAR: Efficient Continual Learning for Malware Analysis with Distribution-Aware Replay

Mohammad Saidur Rahman, Scott Coull, Qi Yu +1

Millions of new pieces of malicious software (i.e., malware) are introduced each year. This poses significant challenges for antivirus vendors, who use machine learning to detect a…

cs.CR2022★ 2 cited

On the Limitations of Continual Learning for Malware Classification

Mohammad Saidur Rahman, Scott E. Coull, Matthew Wright

Malicious software (malware) classification offers a unique challenge for continual learning (CL) regimes due to the volume of new samples received on a daily basis and the evoluti…