Do gradient-based explanations tell anything about adversarial robustness to android malware?

M Melis, M Scalas, A Demontis, D Maiorca… - International journal of …, 2022 - Springer
While machine-learning algorithms have demonstrated a strong ability in detecting Android
malware, they can be evaded by sparse evasion attacks crafted by injecting a small set of …

[HTML][HTML] Retaliation against ransomware in cloud-enabled PureOS system

A Ibrahim, U Tariq, T Ahamed Ahanger, B Tariq… - Mathematics, 2023 - mdpi.com
Ransomware is malicious software that encrypts data before demanding payment to unlock
them. The majority of ransomware variants use nearly identical command and control (C&C) …

Addressing Behavioral Drift in Ransomware Early Detection Through Weighted Generative Adversarial Networks

U Urooj, BAS Al-Rimy, A binti Zainal, F Saeed… - IEEE …, 2023 - ieeexplore.ieee.org
Crypto-ransomware attacks pose a significant cyber threat due to the irreversible effect of
encryption employed to deny access to the data on the victim's device. Existing state-of-the …

Improving malware detection with explainable machine learning

M Scalas, K Rieck, G Giacinto - Explainable Deep Learning AI, 2023 - Elsevier
Abstract Machine learning is used for addressing several detection and classification tasks
in cybersecurity. Typically, detectors are modeled through complex learning algorithms that …

Malware analysis and detection with explainable machine learning

M Scalas - 2021 - iris.unica.it
Malware detection is one of the areas where machine learning is successfully employed due
to its high discriminating power and the capability of identifying novel variants of malware …

Image-Based Malware Detection Through a Deep Neuro-Fuzzy Model

F Mercaldo, F Martinelli… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
From ransomware, able to cipher data and ask for a ransom to have back access to own
files, to spyware, developed to collect private and sensitive information regarding the user's …

[PDF][PDF] Addressing Behavioral Drift in Ransomware Early Detection Through Weighted Generative Adversarial Networks

A ABDELMABOUD, W NAGMELDIN - 2023 - open-access.bcu.ac.uk
Crypto-ransomware attacks pose a significant cyber threat due to the irreversible effect of
encryption employed to deny access to the data on the victim's device. Existing state-of-the …