Activation Analysis of a Byte-Based Deep Neural Network for Malware Classification

12 March 2019

Papers citing "Activation Analysis of a Byte-Based Deep Neural Network for Malware Classification"

8 / 8 papers shown

Title
Updating Windows Malware Detectors: Balancing Robustness and Regression against Adversarial EXEmples M. Kozák Christian Scano Dmitrijs Trizna Fabio Roli AAML 44 0 0 04 May 2024
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples Antonio Emanuele Cinà Jérôme Rony Maura Pintor Christian Scano Ambra Demontis Battista Biggio Ismail Ben Ayed Fabio Roli ELM AAML SILM 46 8 0 30 Apr 2024
High-resolution Image-based Malware Classification using Multiple Instance Learning Tim Peters H. Farhat 19 0 0 21 Nov 2023
Transformers for End-to-End InfoSec Tasks: A Feasibility Study Ethan M. Rudd Mohammad Saidur Rahman Philip Tully 30 5 0 05 Dec 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 44 74 0 23 Dec 2021
A Comparison of State-of-the-Art Techniques for Generating Adversarial Malware Binaries P. Dasgupta Zachary Osman AAML 36 2 0 22 Nov 2021
secml-malware: Pentesting Windows Malware Classifiers with Adversarial EXEmples in Python Christian Scano Battista Biggio AAML 37 11 0 26 Apr 2021
Adversarial EXEmples: A Survey and Experimental Evaluation of Practical Attacks on Machine Learning for Windows Malware Detection Christian Scano Scott E. Coull Battista Biggio Giovanni Lagorio A. Armando Fabio Roli AAML 35 59 0 17 Aug 2020