2 papers
cs.CR2026
Malformer: A Multi-Modal Malware Detector Using Transformers
Samuel Howard, Kshitiz Aryal, Mahmoud Abdelsalam +3
Traditional malware detection systems that rely on a single representation of malware often fail to identify novel threats. These representations of malware binaries, also known as…
cs.CR2026
Explainability-Guided Adversarial Attacks on Transformer-Based Malware Detectors Using Control Flow Graphs
Andrew Wheeler, Kshitiz Aryal, Maanak Gupta
Transformer-based malware detection systems operating on graph modalities such as control flow graphs (CFGs) achieve strong performance by modeling structural relationships in prog…