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2005.01452
Cited By
Do Gradient-based Explanations Tell Anything About Adversarial Robustness to Android Malware?
4 May 2020
Marco Melis
Michele Scalas
Ambra Demontis
Davide Maiorca
Battista Biggio
Giorgio Giacinto
Fabio Roli
AAML
FAtt
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Papers citing
"Do Gradient-based Explanations Tell Anything About Adversarial Robustness to Android Malware?"
4 / 4 papers shown
Title
On building machine learning pipelines for Android malware detection: a procedural survey of practices, challenges and opportunities
Masoud Mehrabi Koushki
I. Abualhaol
Anandharaju Durai Raju
Yang Zhou
Ronnie Salvador Giagone
Huang Shengqiang
18
11
0
12 Jun 2023
Explainable Artificial Intelligence and Cybersecurity: A Systematic Literature Review
C. Mendes
T. N. Rios
22
7
0
27 Feb 2023
A Longitudinal Study of Cryptographic API: a Decade of Android Malware
Adam Janovsky
Davide Maiorca
Dominik Macko
Vashek Matyás
Giorgio Giacinto
14
1
0
11 May 2022
Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical Challenges
Kashif Ahmad
Majdi Maabreh
M. Ghaly
Khalil Khan
Junaid Qadir
Ala I. Al-Fuqaha
27
142
0
14 Dec 2020
1