On the effectiveness of transferability of adversarial Android malware samples against learning-based detectors
Author:
Affiliation:
1. University of Information Technology,Information Security Laboratory,Ho Chi Minh City,Vietnam
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10288584/10288633/10288821.pdf?arnumber=10288821
Reference22 articles.
1. Adversarial-Example Attacks Toward Android Malware Detection System
2. Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN
3. Malware detection by eating a whole exe;raff;arXiv preprint arXiv 1710 09435,2017
4. Black-box adversarial attacks against deep learning based malware binaries detection with gan;yuan;ECAI 2020,2020
5. AndroZoo: Collecting Millions of Android Apps for the Research Community;allix;2016 IEEE/ACM 13th Conference on Mining Software Repositories (MSR),2016
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