Arms Race in Adversarial Malware Detection: A Survey

24 May 2020

Papers citing "Arms Race in Adversarial Malware Detection: A Survey"

21 / 21 papers shown

Title
Adversarial Coevolutionary Illumination with Generational Adversarial MAP-Elites Timothée Anne Noah Syrkis Meriem Elhosni Florian Turati Franck Legendre Alain Jaquier Sebastian Risi 26 0 0 10 May 2025
EaTVul: ChatGPT-based Evasion Attack Against Software Vulnerability Detection Shigang Liu Di Cao Junae Kim Tamas Abraham Paul Montague S. Çamtepe Jun Zhang Yang Xiang AAML 44 1 0 27 Jul 2024
A Wolf in Sheep's Clothing: Practical Black-box Adversarial Attacks for Evading Learning-based Windows Malware Detection in the Wild Xiang Ling Zhiyu Wu Bin Wang Wei Deng Jingzheng Wu Shouling Ji Tianyue Luo Yanjun Wu AAML 36 2 0 03 Jul 2024
EGAN: Evolutional GAN for Ransomware Evasion Daniel Commey Benjamin Appiah B. K. Frimpong Isaac Osei Ebenezer N. A. Hammond Garth V. Crosby AAML GAN 37 0 0 20 May 2024
L-AutoDA: Leveraging Large Language Models for Automated Decision-based Adversarial Attacks Ping Guo Fei Liu Xi Lin Qingchuan Zhao Qingfu Zhang 38 5 0 27 Jan 2024
CARE: Ensemble Adversarial Robustness Evaluation Against Adaptive Attackers for Security Applications Hangsheng Zhang Jiqiang Liu Jinsong Dong AAML 21 1 0 20 Jan 2024
A Red Teaming Framework for Securing AI in Maritime Autonomous Systems Mathew J. Walter Aaron Barrett Kimberly Tam 27 5 0 08 Dec 2023
PACOL: Poisoning Attacks Against Continual Learners Huayu Li G. Ditzler AAML 25 2 0 18 Nov 2023
A Comparison of Adversarial Learning Techniques for Malware Detection Pavla Louthánová M. Kozák M. Jureček Mark Stamp AAML 27 2 0 19 Aug 2023
Towards Automated Cyber Range Design: Characterizing and Matching Demands to Supplies Ekzhin Ear Jose L. C. Remy Shouhuai Xu 11 1 0 10 Jul 2023
You Don't Need Robust Machine Learning to Manage Adversarial Attack Risks Edward Raff M. Benaroch Andrew L. Farris AAML 32 2 0 16 Jun 2023
It Is All About Data: A Survey on the Effects of Data on Adversarial Robustness Peiyu Xiong Michael W. Tegegn Jaskeerat Singh Sarin Shubhraneel Pal Julia Rubin SILM AAML 37 8 0 17 Mar 2023
PAD: Towards Principled Adversarial Malware Detection Against Evasion Attacks Deqiang Li Shicheng Cui Yun Li Jia Xu Fu Xiao Shouhuai Xu AAML 54 18 0 22 Feb 2023
MalProtect: Stateful Defense Against Adversarial Query Attacks in ML-based Malware Detection Aqib Rashid Jose Such AAML 43 8 0 21 Feb 2023
Effectiveness of Moving Target Defenses for Adversarial Attacks in ML-based Malware Detection Aqib Rashid Jose Such AAML 29 2 0 01 Feb 2023
Problem-Space Evasion Attacks in the Android OS: a Survey Harel Berger Chen Hajaj A. Dvir 25 2 0 29 May 2022
Adversarial Patterns: Building Robust Android Malware Classifiers Dipkamal Bhusal Nidhi Rastogi AAML 37 1 0 04 Mar 2022
StratDef: Strategic Defense Against Adversarial Attacks in ML-based Malware Detection Aqib Rashid Jose Such AAML 24 6 0 15 Feb 2022
A Survey on Adversarial Attacks for Malware Analysis Kshitiz Aryal Maanak Gupta Mahmoud Abdelsalam AAML 36 51 0 16 Nov 2021
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 298 3,113 0 04 Nov 2016
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 312 13,373 0 25 Aug 2014