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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
ArXiv (abs)PDFHTML

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

8 / 8 papers shown
Certifiably robust malware detectors by design
Certifiably robust malware detectors by designIFIP International Information Security Conference (IFIP SEC), 2025
Pierre-Francois Gimenez
S. Sivaprasad
Mario Fritz
AAML
164
0
0
10 Aug 2025
Adversarial Challenges in Network Intrusion Detection Systems: Research
  Insights and Future Prospects
Adversarial Challenges in Network Intrusion Detection Systems: Research Insights and Future ProspectsIEEE Access (IEEE Access), 2024
Sabrine Ennaji
Fabio De Gaspari
Dorjan Hitaj
Alicia Kbidi
Luigi V. Mancini
AAML
553
27
0
27 Sep 2024
How to Train your Antivirus: RL-based Hardening through the
  Problem-Space
How to Train your Antivirus: RL-based Hardening through the Problem-Space
Jacopo Cortellazzi
Ilias Tsingenopoulos
B. Bosanský
Simone Aonzo
Davy Preuveneers
Wouter Joosen
Fabio Pierazzi
Lorenzo Cavallaro
258
7
0
29 Feb 2024
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
373
3
0
29 May 2022
MERLIN -- Malware Evasion with Reinforcement LearnINg
MERLIN -- Malware Evasion with Reinforcement LearnINg
Tony Quertier
Benjamin Marais
Stephane Morucci
Bertrand Fournel
AAML
340
21
0
24 Mar 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-ArtComputers & security (CS), 2021
Xiang Ling
Lingfei Wu
Jiangyu Zhang
Zhenqing Qu
Wei Deng
...
Chunming Wu
S. Ji
Tianyue Luo
Jingzheng Wu
Yanjun Wu
AAML
598
104
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
181
4
0
18 Nov 2021
Generating Natural Adversarial Examples
Generating Natural Adversarial Examples
Zhengli Zhao
Dheeru Dua
Sameer Singh
GANAAML
820
650
0
31 Oct 2017
1
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