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End-to-End Deep Neural Networks and Transfer Learning for Automatic Analysis of Nation-State Malware., , and . Entropy, 20 (5): 390 (2018)Sequence Squeezing: A Defense Method Against Adversarial Examples for API Call-Based RNN Variants., , , and . IJCNN, page 1-10. IEEE, (2021)Evading System-Calls Based Intrusion Detection Systems., and . NSS, volume 9955 of Lecture Notes in Computer Science, page 200-216. Springer, (2016)Query-Efficient Black-Box Attack Against Sequence-Based Malware Classifiers., , , and . ACSAC, page 611-626. ACM, (2020)Bypassing system calls-based intrusion detection systems., and . Concurr. Comput. Pract. Exp., (2017)Defense Methods Against Adversarial Examples for Recurrent Neural Networks., , , and . CoRR, (2019)Generic Black-Box End-to-End Attack against RNNs and Other API Calls Based Malware Classifiers., , , and . CoRR, (2017)Adversarial Machine Learning Attacks and Defense Methods in the Cyber Security Domain., , , and . ACM Comput. Surv., 54 (5): 108:1-108:36 (2022)Being Single Has Benefits. Instance Poisoning to Deceive Malware Classifiers., , , , , and . CoRR, (2020)Generic Black-Box End-to-End Attack Against State of the Art API Call Based Malware Classifiers., , , and . RAID, volume 11050 of Lecture Notes in Computer Science, page 490-510. Springer, (2018)