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Convolutional Neural Networks for Classification of Malware Assembly Code.

, , , , , and . CCIA, volume 300 of Frontiers in Artificial Intelligence and Applications, page 221-226. IOS Press, (2017)

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A Robust Defense against Adversarial Attacks on Deep Learning-based Malware Detectors via (De)Randomized Smoothing., , , and . CoRR, (2024)Going Deep into the Cat and the Mouse Game: Deep Learning for Malware Classification.. University of Lleida, Spain, (2020)Anomaly Detection for Diagnosing Failures in a Centrifugal Compressor Train., , , , , , and . CCIA, volume 339 of Frontiers in Artificial Intelligence and Applications, page 217-220. IOS Press, (2021)Argumentation Reasoning with Graph Neural Networks for Reddit Conversation Analysis., , , , , and . CCIA, volume 339 of Frontiers in Artificial Intelligence and Applications, page 123-131. IOS Press, (2021)An Android Malware Detection Framework Using Graph Embeddings and Convolutional Neural Networks., , , , and . CCIA, volume 319 of Frontiers in Artificial Intelligence and Applications, page 45-53. IOS Press, (2019)Orthrus: A Bimodal Learning Architecture for Malware Classification., , and . IJCNN, page 1-8. IEEE, (2020)Fusing Feature Engineering and Deep Learning: A Case Study for Malware Classification., , , and . CoRR, (2022)Classification of Malware by Using Structural Entropy on Convolutional Neural Networks., , , and . AAAI, page 7759-7764. AAAI Press, (2018)Convolutional Neural Networks for Classification of Malware Assembly Code., , , , , and . CCIA, volume 300 of Frontiers in Artificial Intelligence and Applications, page 221-226. IOS Press, (2017)Certified Robustness of Static Deep Learning-based Malware Detectors against Patch and Append Attacks., , and . AISec@CCS, page 173-184. ACM, (2023)