1. Maximilian Alber , Sebastian Lapuschkin , Philipp Seegerer , Miriam Hägele , Kristof T. Schütt , Grégoire Montavon , Wojciech Samek , Klaus-Robert Müller , Sven Dähne , and Pieter-Jan Kindermans . 2019. iNNvestigate Neural Networks!Journal of Machine Learning Research 20, 93 ( 2019 ). http://jmlr.org/papers/v20/18-540.html. Maximilian Alber, Sebastian Lapuschkin, Philipp Seegerer, Miriam Hägele, Kristof T. Schütt, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller, Sven Dähne, and Pieter-Jan Kindermans. 2019. iNNvestigate Neural Networks!Journal of Machine Learning Research 20, 93 (2019). http://jmlr.org/papers/v20/18-540.html.
2. DeepDGA
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4. Martin Arjovsky , Léon Bottou , Ishaan Gulrajani , and David Lopez-Paz . 2019. Invariant Risk Minimization. arXiv:1907.02893 ( 2019 ). https://arxiv.org/abs/1907.02893. Martin Arjovsky, Léon Bottou, Ishaan Gulrajani, and David Lopez-Paz. 2019. Invariant Risk Minimization. arXiv:1907.02893 (2019). https://arxiv.org/abs/1907.02893.
5. Daniel Arp , Erwin Quiring , Feargus Pendlebury , Alexander Warnecke , Fabio Pierazzi , Christian Wressnegger , Lorenzo Cavallaro , and Konrad Rieck . 2022 . Dos and Don’ts of Machine Learning in Computer Security. In USENIX Security Symposium. USENIX Association. https://www.usenix.org/conference/usenixsecurity22/presentation/arp. Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, and Konrad Rieck. 2022. Dos and Don’ts of Machine Learning in Computer Security. In USENIX Security Symposium. USENIX Association. https://www.usenix.org/conference/usenixsecurity22/presentation/arp.