MARD is a ReAct-based multi-agent LLM framework that detects Android malware at 93.46% F1 without fine-tuning and shows robustness to concept drift across five-year evaluations.
Machine learning for android malware detection: mission accomplished? a comprehensive review of open challenges and future perspectives.Computers & Security, 138:103654
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CR 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
MARD: A Multi-Agent Framework for Robust Android Malware Detection
MARD is a ReAct-based multi-agent LLM framework that detects Android malware at 93.46% F1 without fine-tuning and shows robustness to concept drift across five-year evaluations.