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Poster: Attacking Malware Classifiers by Crafting Gradient-Attacks that Preserve Functionality.

, , and . ACM Conference on Computer and Communications Security, page 2565-2567. ACM, (2019)

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Machine learning under malware attack.. Bundeswehr University Munich, Neubiberg (Munich), Germany, (2023)Topology Update Algorithm for Wireless Networks., , , and . MASS Workshops, page 184-185. IEEE, (2019)OpenMTD: A Framework for Efficient Network-Level MTD Evaluation., , , and . MTD@CCS, page 31-41. ACM, (2020)IoT-Botnet Detection and Isolation by Access Routers., , , , , , and . NOF, page 88-95. IEEE, (2018)Black Box Attacks using Adversarial Samples against Machine Learning Malware Classification to Improve Detection., and . AIMS, page 16-20. IFIP, (2018)AIMED: Evolving Malware with Genetic Programming to Evade Detection., , and . TrustCom/BigDataSE, page 240-247. IEEE, (2019)Poster: Attacking Malware Classifiers by Crafting Gradient-Attacks that Preserve Functionality., , and . ACM Conference on Computer and Communications Security, page 2565-2567. ACM, (2019)Evaluating TCP Connection Healthiness., , , and . ITNAC, page 1-4. IEEE, (2019)Universal Adversarial Perturbations for Malware., , , , , and . CoRR, (2021)AIMED-RL: Exploring Adversarial Malware Examples with Reinforcement Learning., , and . ECML/PKDD (4), volume 12978 of Lecture Notes in Computer Science, page 37-52. Springer, (2021)