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Deep Transfer Learning for Static Malware Classification

Deep Transfer Learning for Static Malware Classification

18 December 2018
Li-Wei Chen
ArXiv (abs)PDFHTML

Papers citing "Deep Transfer Learning for Static Malware Classification"

16 / 16 papers shown
Title
Security through the Eyes of AI: How Visualization is Shaping Malware Detection
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
Generative AI-Based Effective Malware Detection for Embedded Computing
  Systems
Generative AI-Based Effective Malware Detection for Embedded Computing Systems
Sreenitha Kasarapu
Sanket Shukla
Rakibul Hassan
Avesta Sasan
Houman Homayoun
Sai Manoj P D
40
1
0
02 Apr 2024
Deep Learning Models for Detecting Malware Attacks
Deep Learning Models for Detecting Malware Attacks
Pascal Maniriho
A. N. Mahmood
M. Chowdhury
AAML
63
6
0
08 Sep 2022
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 Few-Shot Meta-Learning based Siamese Neural Network using Entropy
  Features for Ransomware Classification
A Few-Shot Meta-Learning based Siamese Neural Network using Entropy Features for Ransomware Classification
Jinting Zhu
Ju-Seong Jang
Amardeep Singh
I. Welch
Harith Al-Sahaf
S. Çamtepe
AAML
45
68
0
01 Dec 2021
MalNet: A Large-Scale Image Database of Malicious Software
MalNet: A Large-Scale Image Database of Malicious Software
Scott Freitas
Rahul Duggal
Duen Horng Chau
72
31
0
31 Jan 2021
Malware Detection Using Frequency Domain-Based Image Visualization and
  Deep Learning
Malware Detection Using Frequency Domain-Based Image Visualization and Deep Learning
Tajuddin Manhar Mohammed
L. Nataraj
Satish Chikkagoudar
S. Chandrasekaran
B. S. Manjunath
69
26
0
26 Jan 2021
MIMOSA: Reducing Malware Analysis Overhead with Coverings
MIMOSA: Reducing Malware Analysis Overhead with Coverings
Mohsen Ahmadi
Kevin Leach
Ryan E. Dougherty
Stephanie Forrest
Westley Weimer
47
8
0
18 Jan 2021
Towards interpreting ML-based automated malware detection models: a
  survey
Towards interpreting ML-based automated malware detection models: a survey
Yuzhou Lin
Xiaolin Chang
124
7
0
15 Jan 2021
Towards Interpretable Ensemble Learning for Image-based Malware
  Detection
Towards Interpretable Ensemble Learning for Image-based Malware Detection
Yuzhou Lin
Xiaolin Chang
AAML
70
8
0
13 Jan 2021
Machine Learning (In) Security: A Stream of Problems
Machine Learning (In) Security: A Stream of Problems
Fabrício Ceschin
Marcus Botacin
Albert Bifet
Bernhard Pfahringer
Luiz Eduardo Soares de Oliveira
Heitor Murilo Gomes
André Grégio
AAML
96
31
0
30 Oct 2020
Random CapsNet Forest Model for Imbalanced Malware Type Classification
  Task
Random CapsNet Forest Model for Imbalanced Malware Type Classification Task
Aykut Çayır
U. Ünal
Hasan Dag
86
42
0
20 Dec 2019
Dynamic data fusion using multi-input models for malware classification
Dynamic data fusion using multi-input models for malware classification
Yunji Kim
J. Laska
17
2
0
21 Sep 2019
To believe or not to believe: Validating explanation fidelity for
  dynamic malware analysis
To believe or not to believe: Validating explanation fidelity for dynamic malware analysis
Li-Wei Chen
Carter Yagemann
Evan Downing
AAMLFAtt
47
3
0
30 Apr 2019
Understanding the efficacy, reliability and resiliency of computer
  vision techniques for malware detection and future research directions
Understanding the efficacy, reliability and resiliency of computer vision techniques for malware detection and future research directions
Li-Wei Chen
AAML
38
1
0
03 Apr 2019
Towards resilient machine learning for ransomware detection
Towards resilient machine learning for ransomware detection
Li-Wei Chen
Chih-Yuan Yang
Anindya Paul
R. Sahita
AAML
36
22
0
21 Dec 2018
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