A Preliminary Study On the Sustainability of Android Malware Detection

22 July 2018

Papers citing "A Preliminary Study On the Sustainability of Android Malware Detection"

8 / 8 papers shown

Title
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 37 0 0 12 May 2025
TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights Aiwei Liu Haoping Bai Zhiyun Lu Yanchao Sun Xiang Kong ... Albin Madappally Jose Xiaojiang Liu Lijie Wen Philip S. Yu Meng Cao 51 9 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 42 0 0 04 Aug 2024
Unraveling the Key of Machine Learning Solutions for Android Malware Detection Jiahao Liu Jun Zeng Fabio Pierazzi Lorenzo Cavallaro Zhenkai Liang AAML 26 8 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 23 11 0 12 Jun 2023
Fast & Furious: Modelling Malware Detection as Evolving Data Streams Fabrício Ceschin Marcus Botacin Heitor Murilo Gomes Felipe Pinagé Luiz S. Oliveira André Grégio AAML 11 17 0 24 May 2022
DeepCatra: Learning Flow- and Graph-based Behaviors for Android Malware Detection Yafei Wu Jian Shi Peicheng Wang Dongrui Zeng Cong Sun 14 30 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 49 15 0 19 Nov 2021