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Attacks on Visualization-Based Malware Detection: Balancing
  Effectiveness and Executability

Attacks on Visualization-Based Malware Detection: Balancing Effectiveness and Executability

21 September 2021
Hadjer Benkraouda
J. Qian
Hung Quoc Tran
Berkay Kaplan
    AAML
ArXiv (abs)PDFHTML

Papers citing "Attacks on Visualization-Based Malware Detection: Balancing Effectiveness and Executability"

5 / 5 papers shown
Title
The Road Less Traveled: Investigating Robustness and Explainability in CNN Malware Detection
Matteo Brosolo
Vinod Puthuvath
Mauro Conti
AAML
72
0
0
03 Mar 2025
High-resolution Image-based Malware Classification using Multiple
  Instance Learning
High-resolution Image-based Malware Classification using Multiple Instance Learning
Tim Peters
H. Farhat
42
0
0
21 Nov 2023
FGAM:Fast Adversarial Malware Generation Method Based on Gradient Sign
FGAM:Fast Adversarial Malware Generation Method Based on Gradient Sign
Kunkun Li
Fan Zhang
Wei Guo
AAML
29
4
0
22 May 2023
On deceiving malware classification with section injection
On deceiving malware classification with section injection
Adeilson Antonio da Silva
Maurício Pamplona Segundo
106
4
0
12 Aug 2022
A Survey on Adversarial Attacks for Malware Analysis
A Survey on Adversarial Attacks for Malware Analysis
Kshitiz Aryal
Maanak Gupta
Mahmoud Abdelsalam
AAML
99
53
0
16 Nov 2021
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