Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1812.07606
Cited By
Deep Transfer Learning for Static Malware Classification
18 December 2018
Li-Wei Chen
Re-assign community
ArXiv (abs)
PDF
HTML
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
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
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
Pascal Maniriho
A. N. Mahmood
M. Chowdhury
AAML
63
6
0
08 Sep 2022
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
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
Scott Freitas
Rahul Duggal
Duen Horng Chau
72
31
0
31 Jan 2021
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
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
Yuzhou Lin
Xiaolin Chang
124
7
0
15 Jan 2021
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
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
Aykut Çayır
U. Ünal
Hasan Dag
86
42
0
20 Dec 2019
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
Li-Wei Chen
Carter Yagemann
Evan Downing
AAML
FAtt
47
3
0
30 Apr 2019
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
Li-Wei Chen
Chih-Yuan Yang
Anindya Paul
R. Sahita
AAML
36
22
0
21 Dec 2018
1