Title
Recent Advances in Malware Detection: Graph Learning and Explainability Hossein Shokouhinejad Roozbeh Razavi-Far Hesamodin Mohammadian Mahdi Rabbani Samuel Ansong Griffin Higgins Ali Ghorbani AAML 68 2 0 14 Feb 2025
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 17 1 0 02 Feb 2024
CARE: Ensemble Adversarial Robustness Evaluation Against Adaptive Attackers for Security Applications Hangsheng Zhang Jiqiang Liu Jinsong Dong AAML 13 1 0 20 Jan 2024
Madvex: Instrumentation-based Adversarial Attacks on Machine Learning Malware Detection Yang Cai Felix Mächtle C. Daskalakis Volodymyr Bezsmertnyi T. Eisenbarth AAML 13 7 0 04 May 2023
A Survey on Malware Detection with Graph Representation Learning Tristan Bilot Nour El Madhoun Khaldoun Al Agha Anis Zouaoui AAML 8 20 0 28 Mar 2023
Problem-Space Evasion Attacks in the Android OS: a Survey Harel Berger Chen Hajaj A. Dvir 11 2 0 29 May 2022
StratDef: Strategic Defense Against Adversarial Attacks in ML-based Malware Detection Aqib Rashid Jose Such AAML 9 5 0 15 Feb 2022
MAB-Malware: A Reinforcement Learning Framework for Attacking Static Malware Classifiers Wei Song Xuezixiang Li Sadia Afroz D. Garg Dmitry Kuznetsov Heng Yin AAML 37 24 0 06 Mar 2020
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 250 5,813 0 08 Jul 2016