Practical Attacks on Machine Learning: A Case Study on Adversarial
Windows Malware

Practical Attacks on Machine Learning: A Case Study on Adversarial Windows Malware

12 July 2022

Christian Scano

Battista Biggio

Fabio Roli

Papers citing "Practical Attacks on Machine Learning: A Case Study on Adversarial Windows Malware"

4 / 4 papers shown

Title
On the Effectiveness of Adversarial Samples against Ensemble Learning-based Windows PE Malware Detectors T. To Danhee Kim Do Thi Thu Hien Nghi Hoang Khoa Hien Do Hoang Phan The Duy V. Pham AAML 23 0 0 25 Sep 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
The Space of Adversarial Strategies Ryan Sheatsley Blaine Hoak Eric Pauley Patrick McDaniel AAML 21 6 0 09 Sep 2022
StratDef: Strategic Defense Against Adversarial Attacks in ML-based Malware Detection Aqib Rashid Jose Such AAML 24 5 0 15 Feb 2022