Deep Learning for Android Malware Defenses: a Systematic Literature
Review

Deep Learning for Android Malware Defenses: a Systematic Literature Review

9 March 2021

C. Tantithamthavorn

Papers citing "Deep Learning for Android Malware Defenses: a Systematic Literature Review"

10 / 10 papers shown

Title
PromptSAM+: Malware Detection based on Prompt Segment Anything Model Xingyuan Wei Yichen Liu Ce Li Ning Li Degang Sun Yan Wang VLM AAML 27 0 0 04 Aug 2024
PAD: Towards Principled Adversarial Malware Detection Against Evasion Attacks Deqiang Li Shicheng Cui Yun Li Jia Xu Fu Xiao Shouhuai Xu AAML 36 17 0 22 Feb 2023
Demystifying Hidden Sensitive Operations in Android apps Xiaoyu Sun Xiao Chen Li Li Haipeng Cai John C. Grundy Jordan Samhi Tegawende F. Bissyande Jacques Klein 21 10 0 20 Oct 2022
Towards Using Data-Influence Methods to Detect Noisy Samples in Source Code Corpora An Dau Thang Nguyen-Duc Hoang Thanh-Tung Nghi D. Q. Bui TDI 11 4 0 25 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 41 104 0 16 May 2022
Can We Leverage Predictive Uncertainty to Detect Dataset Shift and Adversarial Examples in Android Malware Detection? Deqiang Li Tian Qiu Shuo Chen Qianmu Li Shouhuai Xu AAML 54 11 0 20 Sep 2021
Pre-trained Models for Natural Language Processing: A Survey Xipeng Qiu Tianxiang Sun Yige Xu Yunfan Shao Ning Dai Xuanjing Huang LM&MA VLM 241 1,450 0 18 Mar 2020
An Introduction to Deep Reinforcement Learning Vincent François-Lavet Peter Henderson Riashat Islam Marc G. Bellemare Joelle Pineau OffRL AI4CE 80 1,230 0 30 Nov 2018
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 268 10,214 0 16 Nov 2016
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 256 3,108 0 04 Nov 2016