MORPH: Towards Automated Concept Drift Adaptation for Malware Detection

MORPH: Towards Automated Concept Drift Adaptation for Malware Detection

23 January 2024

Md Tanvirul Alam

Romy Fieblinger

Nidhi Rastogi

Papers citing "MORPH: Towards Automated Concept Drift Adaptation for Malware Detection"

6 / 6 papers shown

Title
Continuous Learning for Android Malware Detection Yizheng Chen Zhoujie Ding David Wagner 54 35 0 08 Feb 2023
CyNER: A Python Library for Cybersecurity Named Entity Recognition Md Tanvirul Alam Dipkamal Bhusal Youngja Park Nidhi Rastogi 22 17 0 08 Apr 2022
A Survey on Deep Semi-supervised Learning Xiangli Yang Zixing Song Irwin King Zenglin Xu 65 576 0 28 Feb 2021
A Survey of Deep Active Learning Pengzhen Ren Yun Xiao Xiaojun Chang Po-Yao (Bernie) Huang Zhihui Li Brij B. Gupta Xiaojiang Chen Xin Wang 86 1,129 0 30 Aug 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence Kihyuk Sohn David Berthelot Chun-Liang Li Zizhao Zhang Nicholas Carlini E. D. Cubuk Alexey Kurakin Han Zhang Colin Raffel AAML 140 3,524 0 21 Jan 2020
Learning to Evade Static PE Machine Learning Malware Models via Reinforcement Learning Hyrum S. Anderson Anant Kharkar Bobby Filar David Evans P. Roth AAML 56 207 0 26 Jan 2018