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Decoding the Secrets of Machine Learning in Malware Classification: A
  Deep Dive into Datasets, Feature Extraction, and Model Performance

Decoding the Secrets of Machine Learning in Malware Classification: A Deep Dive into Datasets, Feature Extraction, and Model Performance

27 July 2023
Savino Dambra
Yufei Han
Simone Aonzo
Platon Kotzias
Antonino Vitale
Juan Caballero
Davide Balzarotti
Leyla Bilge
ArXivPDFHTML

Papers citing "Decoding the Secrets of Machine Learning in Malware Classification: A Deep Dive into Datasets, Feature Extraction, and Model Performance"

5 / 5 papers shown
Title
Trust Under Siege: Label Spoofing Attacks against Machine Learning for Android Malware Detection
Trust Under Siege: Label Spoofing Attacks against Machine Learning for Android Malware Detection
Tianwei Lan
Luca Demetrio
Farid Nait-Abdesselam
Yufei Han
Simone Aonzo
AAML
58
0
0
14 Mar 2025
The Road Less Traveled: Investigating Robustness and Explainability in CNN Malware Detection
Matteo Brosolo
Vinod Puthuvath
Mauro Conti
AAML
41
0
0
03 Mar 2025
MalMixer: Few-Shot Malware Classification with Retrieval-Augmented Semi-Supervised Learning
MalMixer: Few-Shot Malware Classification with Retrieval-Augmented Semi-Supervised Learning
Eric Li
Yifan Zhang
Yu Huang
Kevin Leach
34
0
0
20 Sep 2024
SLIFER: Investigating Performance and Robustness of Malware Detection
  Pipelines
SLIFER: Investigating Performance and Robustness of Malware Detection Pipelines
Andrea Ponte
Dmitrijs Trizna
Luca Demetrio
Battista Biggio
Ivan Tesfai Ogbu
Fabio Roli
41
0
0
23 May 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
21
2
0
29 Feb 2024
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