Continuous Learning for Android Malware Detection

8 February 2023

Papers citing "Continuous Learning for Android Malware Detection"

17 / 17 papers shown

Title
FCGHunter: Towards Evaluating Robustness of Graph-Based Android Malware Detection Shiwen Song Xiaofei Xie Ruitao Feng Qi Guo Sen Chen AAML 45 0 0 28 Apr 2025
Benchmarking Android Malware Detection: Rethinking the Role of Traditional and Deep Learning Models Guojun Liu Doina Caragea Xinming Ou Sankardas Roy AAML 64 0 0 24 Feb 2025
LAMD: Context-driven Android Malware Detection and Classification with LLMs Xingzhi Qian Xinran Zheng Yiling He Shuo Yang Lorenzo Cavallaro 83 2 0 18 Feb 2025
MADAR: Efficient Continual Learning for Malware Analysis with Diversity-Aware Replay Mohammad Saidur Rahman Scott E. Coull Qi Yu M. Wright AAML 53 0 0 09 Feb 2025
Defending against Adversarial Malware Attacks on ML-based Android Malware Detection Systems Ping He Lorenzo Cavallaro Shouling Ji AAML 41 0 0 23 Jan 2025
The Impact of Train-Test Leakage on Machine Learning-based Android Malware Detection Guojun Liu Doina Caragea Xinming Ou Sankardas Roy FedML 18 0 0 25 Oct 2024
Revisiting Static Feature-Based Android Malware Detection Md Tanvirul Alam Dipkamal Bhusal Nidhi Rastogi AAML 35 0 0 11 Sep 2024
TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time (Extended Version) Zeliang Kan Shae McFadden Daniel Arp Feargus Pendlebury Roberto Jordaney Johannes Kinder Fabio Pierazzi Lorenzo Cavallaro 22 1 0 02 Feb 2024
MORPH: Towards Automated Concept Drift Adaptation for Malware Detection Md Tanvirul Alam Romy Fieblinger Ashim Mahara Nidhi Rastogi 14 0 0 23 Jan 2024
On the Difficulty of Defending Contrastive Learning against Backdoor Attacks Changjiang Li Ren Pang Bochuan Cao Zhaohan Xi Jinghui Chen Shouling Ji Ting Wang AAML 36 6 0 14 Dec 2023
Efficient Concept Drift Handling for Batch Android Malware Detection Models Borja Molina-Coronado U. Mori A. Mendiburu J. Miguel-Alonso 16 6 0 18 Sep 2023
What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners? Fnu Suya X. Zhang Yuan Tian David E. Evans OOD AAML 26 2 0 03 Jul 2023
Can Twitter be used to Acquire Reliable Alerts against Novel Cyber Attacks? Dincy R. Arikkat A. P. Reprint Rafidha Rehiman Andrea Di Sorbo C. A. Visaggio Mauro Conti 22 1 0 28 Jun 2023
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning Dongmin Park Yooju Shin Jihwan Bang Youngjune Lee Hwanjun Song Jae-Gil Lee 59 24 0 13 Oct 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 75 12 0 20 Sep 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015