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• W3135687813 abstract "In recent years machine learning algorithms, and more specifically deep learning algorithms, have been widely used in many fields, including cyber security. However, machine learning systems are vulnerable to adversarial attacks, and this limits the application of machine learning, especially in non-stationary, adversarial environments, such as the cyber security domain, where actual adversaries (e.g., malware developers) exist. This paper comprehensively summarizes the latest research on adversarial attacks against security solutions based on machine learning techniques and illuminates the risks they pose. First, the adversarial attack methods are characterized based on their stage of occurrence, and the attacker's goals and capabilities. Then, we categorize the applications of adversarial attack and defense methods in the cyber security domain. Finally, we highlight some characteristics identified in recent research and discuss the impact of recent advancements in other adversarial learning domains on future research directions in the cyber security domain. This paper is the first to discuss the unique challenges of implementing end-to-end adversarial attacks in the cyber security domain, map them in a unified taxonomy, and use the taxonomy to highlight future research directions." @default.
• W3135687813 created "2021-03-15" @default.
• W3135687813 creator A5002391103 @default.
• W3135687813 creator A5009941129 @default.
• W3135687813 creator A5012622155 @default.
• W3135687813 creator A5072913672 @default.
• W3135687813 date "2020-07-05" @default.
• W3135687813 modified "2023-09-26" @default.
• W3135687813 title "Adversarial Machine Learning Attacks and Defense Methods in the Cyber Security Domain" @default.
• W3135687813 cites W1531333757 @default.
• W3135687813 cites W1561983441 @default.
• W3135687813 cites W1605925311 @default.
• W3135687813 cites W17316494 @default.
• W3135687813 cites W1851403712 @default.
• W3135687813 cites W1956767865 @default.
• W3135687813 cites W1981294881 @default.
• W3135687813 cites W1989957782 @default.
• W3135687813 cites W1998808035 @default.
• W3135687813 cites W2038296020 @default.
• W3135687813 cites W2064675550 @default.
• W3135687813 cites W2095577883 @default.
• W3135687813 cites W2097860933 @default.
• W3135687813 cites W2099471712 @default.
• W3135687813 cites W2099940443 @default.
• W3135687813 cites W2105497548 @default.
• W3135687813 cites W2122672392 @default.
• W3135687813 cites W2125908420 @default.
• W3135687813 cites W2131774270 @default.
• W3135687813 cites W2136495567 @default.
• W3135687813 cites W2146334809 @default.
• W3135687813 cites W2162552722 @default.
• W3135687813 cites W2180612164 @default.
• W3135687813 cites W2243397390 @default.
• W3135687813 cites W2296719434 @default.
• W3135687813 cites W2325939864 @default.
• W3135687813 cites W2400599487 @default.
• W3135687813 cites W2408141691 @default.
• W3135687813 cites W2432142698 @default.
• W3135687813 cites W2460937040 @default.
• W3135687813 cites W2528572867 @default.
• W3135687813 cites W2535873859 @default.
• W3135687813 cites W2550538157 @default.
• W3135687813 cites W2570685808 @default.
• W3135687813 cites W2571710472 @default.
• W3135687813 cites W2574797807 @default.
• W3135687813 cites W2591788621 @default.
• W3135687813 cites W2594877703 @default.
• W3135687813 cites W2603766943 @default.
• W3135687813 cites W2603775267 @default.
• W3135687813 cites W2618219509 @default.
• W3135687813 cites W2625935159 @default.
• W3135687813 cites W2728257130 @default.
• W3135687813 cites W2744095836 @default.
• W3135687813 cites W2748690817 @default.
• W3135687813 cites W2753542656 @default.
• W3135687813 cites W2753783305 @default.
• W3135687813 cites W2757858076 @default.
• W3135687813 cites W2758551931 @default.
• W3135687813 cites W2767951891 @default.
• W3135687813 cites W2773446523 @default.
• W3135687813 cites W2774423163 @default.
• W3135687813 cites W2776884785 @default.
• W3135687813 cites W2778624544 @default.
• W3135687813 cites W2780484784 @default.
• W3135687813 cites W2782892391 @default.
• W3135687813 cites W2784452215 @default.
• W3135687813 cites W2785699986 @default.
• W3135687813 cites W2785844809 @default.
• W3135687813 cites W2787708942 @default.
• W3135687813 cites W2787957674 @default.
• W3135687813 cites W2789828921 @default.
• W3135687813 cites W2798159728 @default.
• W3135687813 cites W2798302089 @default.
• W3135687813 cites W2799137713 @default.
• W3135687813 cites W2799420851 @default.
• W3135687813 cites W2803697594 @default.
• W3135687813 cites W2809523935 @default.
• W3135687813 cites W2853623529 @default.
• W3135687813 cites W2883743354 @default.
• W3135687813 cites W2888940765 @default.
• W3135687813 cites W2889645991 @default.
• W3135687813 cites W2889836475 @default.
• W3135687813 cites W2891412341 @default.
• W3135687813 cites W2892399533 @default.
• W3135687813 cites W2896732478 @default.
• W3135687813 cites W2898761242 @default.
• W3135687813 cites W2902758299 @default.
• W3135687813 cites W2902901209 @default.
• W3135687813 cites W2906869444 @default.
• W3135687813 cites W2908403421 @default.
• W3135687813 cites W2911377781 @default.
• W3135687813 cites W2911919851 @default.
• W3135687813 cites W2913301826 @default.
• W3135687813 cites W2913694443 @default.
• W3135687813 cites W2915004960 @default.
• W3135687813 cites W2917948814 @default.
• W3135687813 cites W2919491917 @default.
• W3135687813 cites W2923778952 @default.
• W3135687813 cites W2929803724 @default.
• W3135687813 cites W2934843808 @default.

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