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A survey on practical adversarial examples for malware classifiers

A survey on practical adversarial examples for malware classifiers

6 November 2020
Daniel Park
B. Yener
    AAML
ArXivPDFHTML

Papers citing "A survey on practical adversarial examples for malware classifiers"

5 / 5 papers shown
Title
Problem-Space Evasion Attacks in the Android OS: a Survey
Problem-Space Evasion Attacks in the Android OS: a Survey
Harel Berger
Chen Hajaj
A. Dvir
21
2
0
29 May 2022
Adversarial Attacks against Windows PE Malware Detection: A Survey of
  the State-of-the-Art
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
34
73
0
23 Dec 2021
Malfustection: Obfuscated Malware Detection and Malware Classification with Data Shortage by Combining Semi-Supervised and Contrastive Learning
Mohammad Mahdi Maghouli
Mohamadreza Fereydooni
M. Abdoos
M. Vahidi-Asl
AAML
19
3
0
18 Nov 2021
MAB-Malware: A Reinforcement Learning Framework for Attacking Static
  Malware Classifiers
MAB-Malware: A Reinforcement Learning Framework for Attacking Static Malware Classifiers
Wei Song
Xuezixiang Li
Sadia Afroz
D. Garg
Dmitry Kuznetsov
Heng Yin
AAML
45
27
0
06 Mar 2020
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,837
0
08 Jul 2016
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