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ADVERSARIALuscator: An Adversarial-DRL based Obfuscator and Metamorphic Malware Swarm Generator.

, , and . IJCNN, page 1-9. IEEE, (2021)

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Malware Detection using Machine Learning and Deep Learning., , , and . CoRR, (2019)Identification of Adversarial Android Intents using Reinforcement Learning., , , and . IJCNN, page 1-8. IEEE, (2021)Android Malicious Application Classification Using Clustering., , , and . ISDA (2), volume 941 of Advances in Intelligent Systems and Computing, page 659-667. Springer, (2018)DOOM: a novel adversarial-DRL-based op-code level metamorphic malware obfuscator for the enhancement of IDS., , and . UbiComp/ISWC Adjunct, page 131-134. ACM, (2020)Designing Adversarial Attack and Defence for Robust Android Malware Detection Models., , , and . DSN (Supplements), page 29-32. IEEE, (2021)Are CNN based Malware Detection Models Robust?: Developing Superior Models using Adversarial Attack and Defense., , , and . SenSys, page 355-356. ACM, (2021)DRo: A data-scarce mechanism to revolutionize the performance of DL-based Security Systems., , and . LCN, page 581-588. IEEE, (2021)Are Android Malware Detection Models Adversarially Robust?: Poster Abstract., , and . IPSN, page 408-409. ACM, (2021)Adversarial Robustness of Image Based Android Malware Detection Models., , , and . SKM, volume 1549 of Communications in Computer and Information Science, page 3-22. Springer, (2021)DeepIntent: ImplicitIntent based Android IDS with E2E Deep Learning architecture., , and . PIMRC, page 1-6. IEEE, (2020)