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A Preliminary Study On the Sustainability of Android Malware Detection
ACM Transactions on Software Engineering and Methodology (TOSEM), 2018
22 July 2018
Haipeng Cai
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Papers citing
"A Preliminary Study On the Sustainability of Android Malware Detection"
15 / 15 papers shown
Android Malware Detection: A Machine Leaning Approach
Hasan Abdulla
131
0
0
02 Nov 2025
It's not Easy: Applying Supervised Machine Learning to Detect Malicious Extensions in the Chrome Web Store
ACM Transactions on the Web (TWEB), 2025
Ben Rosenzweig
Valentino Dalla Valle
Giovanni Apruzzese
Aurore Fass
206
1
0
25 Sep 2025
An Adversarial Robust Behavior Sequence Anomaly Detection Approach Based on Critical Behavior Unit Learning
IEEE transactions on computers (IEEE Trans. Comput.), 2023
D. Zhan
Kai Tan
Lin Ye
Xiangzhan Yu
Hongli Zhang
Zheng He
AAML
183
10
0
19 Sep 2025
Security through the Eyes of AI: How Visualization is Shaping Malware Detection
Matteo Brosolo
A. Aazami
R. Agarwal
R. Agarwal
S. Nicolazzo
Antonino Nocera
V. P.
Vinod Puthuvath
AAML
429
1
0
12 May 2025
TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights
International Conference on Learning Representations (ICLR), 2024
Aiwei Liu
Haoping Bai
Zhiyun Lu
Yanchao Sun
Xiang Kong
...
Albin Madappally Jose
Xiaojiang Liu
Lijie Wen
Philip S. Yu
Meng Cao
385
6
0
06 Oct 2024
PromptSAM+: Malware Detection based on Prompt Segment Anything Model
Xingyuan Wei
Yichen Liu
Ce Li
Ning Li
Degang Sun
Yan Wang
VLM
AAML
227
2
0
04 Aug 2024
Unraveling the Key of Machine Learning-based Android Malware Detection
Jiahao Liu
Jun Zeng
Fabio Pierazzi
Lorenzo Cavallaro
Zhenkai Liang
Zhenkai Liang
AAML
223
14
0
05 Feb 2024
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
176
20
0
12 Jun 2023
SourceP: Detecting Ponzi Schemes on Ethereum with Source Code
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Pengcheng Lu
Liang Cai
Keting Yin
AI4TS
499
11
0
02 Jun 2023
Explainable AI for Android Malware Detection: Towards Understanding Why the Models Perform So Well?
IEEE International Symposium on Software Reliability Engineering (ISSRE), 2022
Yue Liu
Chakkrit Tantithamthavorn
Li Li
Yepang Liu
228
46
0
02 Sep 2022
Fast & Furious: Modelling Malware Detection as Evolving Data Streams
Expert systems with applications (ESWA), 2022
Fabrício Ceschin
Marcus Botacin
Heitor Murilo Gomes
Felipe Pinagé
Luiz S. Oliveira
André Grégio
AAML
200
29
0
24 May 2022
DeepCatra: Learning Flow- and Graph-based Behaviors for Android Malware Detection
IET Information Security (IET Inf. Secur.), 2022
Yafei Wu
Jian Shi
Peicheng Wang
Dongrui Zeng
Cong Sun
185
54
0
30 Jan 2022
Mate! Are You Really Aware? An Explainability-Guided Testing Framework for Robustness of Malware Detectors
Ruoxi Sun
Minhui Xue
Gareth Tyson
Tian Dong
Shaofeng Li
Shuo Wang
Haojin Zhu
S. Çamtepe
Surya Nepal
AAML
329
21
0
19 Nov 2021
Dynamic detection of mobile malware using smartphone data and machine learning
J. D. Wit
J. V. D. Ham
Doina Bucur
89
6
0
23 Jul 2021
DAEMON: Dataset-Agnostic Explainable Malware Classification Using Multi-Stage Feature Mining
Ron Korine
Danny Hendler
211
20
0
04 Aug 2020
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