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Towards Adversarial Malware Detection: Lessons Learned from PDF-based Attacks

, , and . (2018)cite arxiv:1811.00830Comment: Major revision submitted to ACM Computing Surveys.

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HMMPayl: an application of HMM to the analysis of the HTTP Payload., and . WAPA, volume 11 of JMLR Proceedings, page 81-87. JMLR.org, (2010)Enhancing android malware detection explainability through function call graph APIs., , , and . J. Inf. Secur. Appl., (February 2024)Design of effective neural network ensembles for image classification purposes., and . Image Vis. Comput., 19 (9-10): 699-707 (2001)Convolutional neural networks for relevance feedback in content based image retrieval., , and . Multim. Tools Appl., 79 (37-38): 26995-27021 (2020)PowerDecode: A PowerShell Script Decoder Dedicated to Malware Analysis., , , and . ITASEC, volume 2940 of CEUR Workshop Proceedings, page 219-232. CEUR-WS.org, (2021)IntelliAV: Toward the Feasibility of Building Intelligent Anti-malware on Android Devices., , and . CD-MAKE, volume 10410 of Lecture Notes in Computer Science, page 137-154. Springer, (2017)One-and-a-Half-Class Multiple Classifier Systems for Secure Learning Against Evasion Attacks at Test Time., , , , , , and . MCS, volume 9132 of Lecture Notes in Computer Science, page 168-180. Springer, (2015)Selection of Classifiers Based on Multiple Classifier Behaviour., , and . SSPR/SPR, volume 1876 of Lecture Notes in Computer Science, page 87-93. Springer, (2000)A Modular Architecture for the Analysis of HTTP Payloads Based on Multiple Classifiers., and . MCS, volume 6713 of Lecture Notes in Computer Science, page 330-339. Springer, (2011)A Modular Multiple Classifier System for the Detection of Intrusions in Computer Networks., , and . Multiple Classifier Systems, volume 2709 of Lecture Notes in Computer Science, page 346-355. Springer, (2003)