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Black box analysis of android malware detectors
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-44647-8_1openalex-snapshot
On the (Im)possibility of Obfuscating Programs
inferredcites →https://doi.org/10.1007/s11416-016-0282-2openalex-snapshot
Testing android malware detectors against code obfuscation: a systematization of knowledge and unified methodology
inferredcites →https://doi.org/10.1109/sp.2012.16openalex-snapshot
Dissecting Android Malware: Characterization and Evolution
inferredcites →https://doi.org/10.1109/sp16516.2013openalex-snapshot
2013 IEEE Symposium on Security and Privacy
inferredcites →https://doi.org/10.1145/2484313openalex-snapshot
Proceedings of the 8th ACM SIGSAC symposium on Information, computer and communications security
inferredcites →https://doi.org/10.1145/2523514openalex-snapshot
Proceedings of the 6th International Conference on Security of Information and Networks
inferredcites →https://doi.org/10.1201/9781315213262openalex-snapshot
Introduction to Machine Learning with Applications in Information Security
inferredcites →https://doi.org/10.14569/ijacsa.2016.070262openalex-snapshot
Android Malware Detection & Protection: A Survey
inferredcites →https://doi.org/10.14722/ndss.2014.23247openalex-snapshot
Drebin: Effective and Explainable Detection of Android Malware in Your Pocket
inferredcites →https://doi.org/10.31979/etd.uzt8-w8qhopenalex-snapshot
Black Box Analysis of Android Malware Detectors
inferredcites →https://doi.org/10.5220/0006256706530662openalex-snapshot
Static and Dynamic Analysis of Android Malware
inferredcites →https://doi.org/10.7125/apan.36.4openalex-snapshot
Detecting Android Malware by Analyzing Manifest Files
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-10551-7_7openalex-snapshot
Systematic Review on Various Techniques of Android Malware Detection
inferred← citeshttps://doi.org/10.1007/978-3-032-16469-8_17openalex-snapshot
Harnessing the Power of Generative Adversarial Networks for Enhancing Android Security
inferred← citeshttps://doi.org/10.1007/978-981-97-3591-4_31openalex-snapshot
Malware Detection Insights, Mechanisms and Future Perspectives for Android Applications
inferred← citeshttps://doi.org/10.1016/j.array.2025.100491openalex-snapshot
Binary2vec:Cross-architecture binary embeddings with global attention-enhanced graph neural networks
inferred← citeshttps://doi.org/10.1016/j.jss.2025.112747openalex-snapshot
Assessing the capability of android dynamic analysis tools to combat anti-runtime analysis techniques
inferred← citeshttps://doi.org/10.1109/access.2024.3400211openalex-snapshot
Maloid-DS: Labeled Dataset for Android Malware Forensics
inferred← citeshttps://doi.org/10.1109/isea-isap54304.2021.9689765openalex-snapshot
Explainable Artificial Intelligence in Cybersecurity: A Brief Review
inferred← citeshttps://doi.org/10.18046/eui/ee.4.2022openalex-snapshot
Ciberseguridad: los datos tienen la respuesta
inferred← citeshttps://doi.org/10.32604/iasc.2023.030527openalex-snapshot
Investigation of Android Malware Using Deep Learning Approach
inferred← citeshttps://doi.org/10.46291/icontechvol4iss2pp15-27openalex-snapshot
K-NEAREST NEIGHBOUR CLASSIFIER USAGE FOR PERMISSION BASED MALWARE DETECTION IN ANDROID
inferred← citeshttps://doi.org/10.48550/arxiv.2101.06232openalex-snapshot
Towards interpreting ML-based automated malware detection models: a survey
inferred← citeshttps://doi.org/10.5753/sbseg.2023.233595openalex-snapshot
Explaining the Effectiveness of Machine Learning in Malware Detection: Insights from Explainable AI
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