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1802.10135
Cited By
Microsoft Malware Classification Challenge
22 February 2018
Royi Ronen
Marian Radu
Corina Feuerstein
E. Yom-Tov
Mansour Ahmadi
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Papers citing
"Microsoft Malware Classification Challenge"
38 / 38 papers shown
Title
On the Security Risks of ML-based Malware Detection Systems: A Survey
Ping He
Yuhao Mao
Changjiang Li
Lorenzo Cavallaro
Ting Wang
Shouling Ji
23
0
0
16 May 2025
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.
AAML
39
0
0
12 May 2025
Malware Classification Based on Image Segmentation
Wanhu Nie
13
0
0
06 Jun 2024
kNN Classification of Malware Data Dependency Graph Features
John Musgrave
Anca L. Ralescu
33
0
0
04 Jun 2024
SoK: Leveraging Transformers for Malware Analysis
Pradip Kunwar
Kshitiz Aryal
Maanak Gupta
Mahmoud Abdelsalam
Elisa Bertino
90
0
0
27 May 2024
Synthetic Datasets for Program Similarity Research
Alex Interrante-Grant
Michael Wang
Lisa Baer
Ryan Whelan
Tim Leek
SyDa
41
1
0
06 May 2024
Generalizing Machine Learning Evaluation through the Integration of Shannon Entropy and Rough Set Theory
Olga Cherednichenko
Dmytro Chernyshov
Dmytro Sytnikov
Polina Sytnikova
57
0
0
18 Apr 2024
Use of Graph Neural Networks in Aiding Defensive Cyber Operations
Shaswata Mitra
Trisha Chakraborty
Subash Neupane
Aritran Piplai
Sudip Mittal
AAML
50
3
0
11 Jan 2024
High-resolution Image-based Malware Classification using Multiple Instance Learning
Tim Peters
H. Farhat
19
0
0
21 Nov 2023
MALITE: Lightweight Malware Detection and Classification for Constrained Devices
Sidharth Anand
Barsha Mitra
Soumyadeep Dey
Abhinav Rao
Rupsa Dhar
Jaideep Vaidya
27
3
0
06 Sep 2023
A Survey on Malware Detection with Graph Representation Learning
Tristan Bilot
Nour El Madhoun
Khaldoun Al Agha
Anis Zouaoui
AAML
21
20
0
28 Mar 2023
Sequential Embedding-based Attentive (SEA) classifier for malware classification
Muhammad Ahmed
Anam Qureshi
J. Shamsi
Murk Marvi
19
1
0
11 Feb 2023
Behavioural Reports of Multi-Stage Malware
Marcus Carpenter
Chunbo Luo
25
3
0
30 Jan 2023
Adversarial Attacks on Transformers-Based Malware Detectors
Yash Jakhotiya
Heramb Patil
Jugal Rawlani
Dr. Sunil B. Mane
AAML
23
4
0
01 Oct 2022
Feature Decoupling in Self-supervised Representation Learning for Open Set Recognition
Jingyun Jia
P. Chan
BDL
19
2
0
28 Sep 2022
Avast-CTU Public CAPE Dataset
B. Bosanský
Dominik Kouba
Ondrej Manhal
Thorsten Sick
Viliam Lisý
J. Kroustek
P. Somol
75
5
0
06 Sep 2022
Sequence Feature Extraction for Malware Family Analysis via Graph Neural Network
S. W. Hsiao
P. Chu
22
1
0
10 Aug 2022
Fusing Feature Engineering and Deep Learning: A Case Study for Malware Classification
Daniel Gibert
Carles Mateu
Jordi Planes
Quan Le
AAML
40
48
0
12 Jun 2022
Marvolo: Programmatic Data Augmentation for Practical ML-Driven Malware Detection
Michael D. Wong
Edward Raff
James Holt
Ravi Netravali
34
2
0
07 Jun 2022
Deep Image: A precious image based deep learning method for online malware detection in IoT Environment
Meysam Ghahramani
R. Taheri
Mohammad Shojafar
R. Javidan
Shaohua Wan
19
11
0
04 Apr 2022
MOTIF: A Large Malware Reference Dataset with Ground Truth Family Labels
R. Joyce
Dev Amlani
B. Hamilton
Edward Raff
49
21
0
29 Nov 2021
A Framework for Cluster and Classifier Evaluation in the Absence of Reference Labels
R. Joyce
Edward Raff
Charles K. Nicholas
48
16
0
23 Sep 2021
Malware Classification Using Transfer Learning
H. Farhat
Veronica Rammouz
17
2
0
29 Jul 2021
Identifying Authorship Style in Malicious Binaries: Techniques, Challenges & Datasets
J. Gray
D. Sgandurra
Lorenzo Cavallaro
21
8
0
15 Jan 2021
Classifying Malware Using Function Representations in a Static Call Graph
Thomas Dalton
M. Schmidtler
Alireza Hadj Khodabakhshi
8
0
0
01 Dec 2020
A survey on practical adversarial examples for malware classifiers
Daniel Park
B. Yener
AAML
44
14
0
06 Nov 2020
tf-Darshan: Understanding Fine-grained I/O Performance in Machine Learning Workloads
Steven W. D. Chien
Artur Podobas
Ivy Bo Peng
Stefano Markidis
16
11
0
10 Aug 2020
Random CapsNet Forest Model for Imbalanced Malware Type Classification Task
Aykut Çayır
U. Ünal
Hasan Dag
32
41
0
20 Dec 2019
Malware Makeover: Breaking ML-based Static Analysis by Modifying Executable Bytes
Keane Lucas
Mahmood Sharif
Lujo Bauer
Michael K. Reiter
S. Shintre
AAML
31
67
0
19 Dec 2019
COPYCAT: Practical Adversarial Attacks on Visualization-Based Malware Detection
Aminollah Khormali
Ahmed A. Abusnaina
Songqing Chen
Daehun Nyang
Aziz Mohaisen
AAML
34
28
0
20 Sep 2019
Malware Detection with LSTM using Opcode Language
Renjie Lu
14
42
0
10 Jun 2019
Detection of Advanced Malware by Machine Learning Techniques
Sanjay Sharma
C. Krishna
S. K. Sahay
14
67
0
07 Mar 2019
Adversarial Attacks on Deep Learning Models in Natural Language Processing: A Survey
W. Zhang
Quan Z. Sheng
A. Alhazmi
Chenliang Li
AAML
24
57
0
21 Jan 2019
Machine Learning in Cyber-Security - Problems, Challenges and Data Sets
Idan Amit
John Matherly
W. Hewlett
Zhi Xu
Yinnon Meshi
Yigal Weinberger
21
50
0
19 Dec 2018
Deep learning at the shallow end: Malware classification for non-domain experts
Quan Le
Oisín Boydell
Brian Mac Namee
Mark Scanlon
78
173
0
22 Jul 2018
WebEye - Automated Collection of Malicious HTTP Traffic
Johann Vierthaler
Roman Kruszelnicki
J. Schütte
18
4
0
16 Feb 2018
On the Feasibility of Malware Authorship Attribution
S. Alrabaee
Paria Shirani
M. Debbabi
Lingyu Wang
DeLMO
18
48
0
10 Jan 2017
One-Class SVM with Privileged Information and its Application to Malware Detection
Evgeny Burnaev
Dmitry Smolyakov
19
70
0
26 Sep 2016
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