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LaFiCMIL: Rethinking Large File Classification from the Perspective of Correlated Multiple Instance Learning., , , , , и . CoRR, (2023)DexBERT: Effective, Task-Agnostic and Fine-Grained Representation Learning of Android Bytecode., , , , , , , и . IEEE Trans. Software Eng., 49 (10): 4691-4706 (октября 2023)SSPCatcher: Learning to catch security patches., , , , , , и . Empir. Softw. Eng., 27 (6): 151 (2022)JuCify: A Step Towards Android Code Unification for Enhanced Static Analysis., , , , , , , , и . CoRR, (2021)On the Suitability of SHAP Explanations for Refining Classifications., , , , , , , , и . ICAART (3), стр. 395-402. SCITEPRESS, (2022)Evaluating the Impact of Text De-Identification on Downstream NLP Tasks., , , , , , , , и . NoDaLiDa, стр. 10-16. University of Tartu Library, (2023)LuxemBERT: Simple and Practical Data Augmentation in Language Model Pre-Training for Luxembourgish., , , , , , , , и . LREC, стр. 5080-5089. European Language Resources Association, (2022)Android Malware Detection: Looking beyond Dalvik Bytecode., , , и . ASE Workshops, стр. 34-39. IEEE, (2021)AndroZoo: Collecting Millions of Android Apps for the Research Community, , , и . Proceedings of the 13th International Conference on Mining Software Repositories, стр. 468--471. (мая 2016)A Deep Dive Inside DREBIN: An Explorative Analysis beyond Android Malware Detection Scores., , , и . ACM Trans. Priv. Secur., 25 (2): 13:1-13:28 (2022)