Adversarial EXEmples: A Survey and Experimental Evaluation of Practical
Attacks on Machine Learning for Windows Malware Detection

Adversarial EXEmples: A Survey and Experimental Evaluation of Practical Attacks on Machine Learning for Windows Malware Detection

17 August 2020

Battista Biggio

Giovanni Lagorio

Fabio Roli

Papers citing "Adversarial EXEmples: A Survey and Experimental Evaluation of Practical Attacks on Machine Learning for Windows Malware Detection"

8 / 8 papers shown

Title
SLIFER: Investigating Performance and Robustness of Malware Detection Pipelines Andrea Ponte Dmitrijs Trizna Luca Demetrio Battista Biggio Ivan Tesfai Ogbu Fabio Roli 41 0 0 23 May 2024
Updating Windows Malware Detectors: Balancing Robustness and Regression against Adversarial EXEmples M. Kozák Luca Demetrio Dmitrijs Trizna Fabio Roli AAML 34 0 0 04 May 2024
Efficient Malware Analysis Using Metric Embeddings Ethan M. Rudd David B. Krisiloff Scott E. Coull Daniel Olszewski Edward Raff James Holt AAML 25 6 0 05 Dec 2022
Stealing and Evading Malware Classifiers and Antivirus at Low False Positive Conditions M. Rigaki Sebastian Garcia AAML 25 10 0 13 Apr 2022
StratDef: Strategic Defense Against Adversarial Attacks in ML-based Malware Detection Aqib Rashid Jose Such AAML 21 5 0 15 Feb 2022
Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art Xiang Ling Lingfei Wu Jiangyu Zhang Zhenqing Qu Wei Deng ... Chunming Wu S. Ji Tianyue Luo Jingzheng Wu Yanjun Wu AAML 34 73 0 23 Dec 2021
Functionality-preserving Black-box Optimization of Adversarial Windows Malware Luca Demetrio Battista Biggio Giovanni Lagorio Fabio Roli A. Armando AAML 23 136 0 30 Mar 2020
MAB-Malware: A Reinforcement Learning Framework for Attacking Static Malware Classifiers Wei Song Xuezixiang Li Sadia Afroz D. Garg Dmitry Kuznetsov Heng Yin AAML 48 27 0 06 Mar 2020