arXiv cs.CR·4d agoRAMP: Reversing Adversarial Perturbations to Strengthen Clean-Label Backdoor Attacks against Malware Detectors#backdoor#malware-detection#adversarial-mlResearch
arXiv cs.CR·4d agoSAGEGAN: Style-Based Anomaly Detection with Gaussian Embeddings using Generative Adversarial Networks#malware-detection#gan#anomaly-detectionResearch
arXiv cs.CR·4d agoHYDRA: Proactive Android Malware Drift Adaptation via Hierarchical Graph Contrastive Learning#android#malware-detection#concept-driftResearch
arXiv cs.CR·5d agoPartition-Matched Evaluation of Community Features under Distribution Shift in Android Malware Function-Call Graphs#android#malware-detection#function-call-graphResearch
arXiv cs.CR·5d agoResidual Community Prototypes Under-Reject Held-Out Malware Families in FCG-MFD#malware-detection#open-set-recognition#function-call-graphResearch
arXiv cs.CR·5d agoName2Pkg: Lightweight One-Class Android Malware Screening via Name-Package Correspondence Modeling#android#malware-detection#name2pkgResearch
arXiv cs.CR·5d agoTemporal Generalization and Explanation Stability of Control Flow Graph Neural Networks for Malware Detection#malware-detection#graph-neural-network#control-flow-graphResearch
arXiv cs.CR·9d agoDelphi Scanner: efficient and interpretable static malware detection via API sequence modeling#api-sequences#cnn#machine-learningResearch1
arXiv cs.CR·18d agoWindows Malware Detector as a Compound AI System: Trade-Offs in Accuracy, Efficiency, and Adversarial Robustness#adversarial-ml#compound-ai#evasionResearch1
arXiv cs.CR·23d agoWhy Is SHAP Not a Reliable Standalone Explanation Framework for Malware Detection?#ember#explainability#machine-learningResearch1