ATMPA: Attacking Machine Learning-based Malware Visualization Detection
Methods via Adversarial Examples

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ATMPA: Attacking Machine Learning-based Malware Visualization Detection Methods via Adversarial Examples

5 August 2018

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Papers citing "ATMPA: Attacking Machine Learning-based Malware Visualization Detection Methods via Adversarial Examples"

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Title
Security through the Eyes of AI: How Visualization is Shaping Malware Detection Matteo Brosolo A. Aazami R. Agarwal M. Prabhakaran S. Nicolazzo Antonino Nocera V. P. Vinod Puthuvath AAML 79 0 0 12 May 2025
Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art Xiang Ling Lingfei Wu Jiangyu Zhang Zhenqing Qu Wei Deng ... Chunming Wu S. Ji Tianyue Luo Jingzheng Wu Yanjun Wu AAML 145 82 0 23 Dec 2021
A Survey on Adversarial Attacks for Malware Analysis Kshitiz Aryal Maanak Gupta Mahmoud Abdelsalam AAML 99 53 0 16 Nov 2021
Attacks on Visualization-Based Malware Detection: Balancing Effectiveness and Executability Hadjer Benkraouda J. Qian Hung Quoc Tran Berkay Kaplan AAML 28 6 0 21 Sep 2021
MAB-Malware: A Reinforcement Learning Framework for Attacking Static Malware Classifiers Wei Song Xuezixiang Li Sadia Afroz D. Garg Dmitry Kuznetsov Heng Yin AAML 117 27 0 06 Mar 2020
Computer Systems Have 99 Problems, Let's Not Make Machine Learning Another One David A. Mohaisen Songqing Chen 33 0 0 28 Nov 2019
COPYCAT: Practical Adversarial Attacks on Visualization-Based Malware Detection Aminollah Khormali Ahmed A. Abusnaina Songqing Chen Daehun Nyang Aziz Mohaisen AAML 58 27 0 20 Sep 2019
Adversarial Audio: A New Information Hiding Method and Backdoor for DNN-based Speech Recognition Models Yehao Kong Jiliang Zhang 52 28 0 08 Apr 2019
Adversarial Examples: Opportunities and Challenges Jiliang Zhang Chen Li AAML 57 234 0 13 Sep 2018