A Comparison of Adversarial Learning Techniques for Malware Detection

A Comparison of Adversarial Learning Techniques for Malware Detection

19 August 2023

Pavla Louthánová

Papers citing "A Comparison of Adversarial Learning Techniques for Malware Detection"

16 / 16 papers shown

Title
Combining Generators of Adversarial Malware Examples to Increase Evasion Rate M. Kozák M. Jureček AAML 22 1 0 14 Apr 2023
Practical Attacks on Machine Learning: A Case Study on Adversarial Windows Malware Christian Scano Battista Biggio Fabio Roli AAML 56 8 0 12 Jul 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 275 30,109 0 01 Mar 2022
Against All Odds: Winning the Defense Challenge in an Evasion Competition with Diversification Erwin Quiring Lukas Pirch Michael Reimsbach Dan Arp Konrad Rieck AAML 31 13 0 19 Oct 2020
Arms Race in Adversarial Malware Detection: A Survey Deqiang Li Qianmu Li Yanfang Ye Shouhuai Xu AAML 51 52 0 24 May 2020
Functionality-preserving Black-box Optimization of Adversarial Windows Malware Christian Scano Battista Biggio Giovanni Lagorio Fabio Roli A. Armando AAML 51 144 0 30 Mar 2020
MDEA: Malware Detection with Evolutionary Adversarial Learning Xiruo Wang Risto Miikkulainen AAML 44 15 0 09 Feb 2020
Explaining Vulnerabilities of Deep Learning to Adversarial Malware Binaries Christian Scano Battista Biggio Giovanni Lagorio Fabio Roli A. Armando AAML 46 131 0 11 Jan 2019
Exploring Adversarial Examples in Malware Detection Octavian Suciu Scott E. Coull Jeffrey Johns AAML 61 192 0 18 Oct 2018
Learning to Evade Static PE Machine Learning Malware Models via Reinforcement Learning Hyrum S. Anderson Anant Kharkar Bobby Filar David Evans P. Roth AAML 73 208 0 26 Jan 2018
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning Battista Biggio Fabio Roli AAML 125 1,409 0 08 Dec 2017
Malware Detection by Eating a Whole EXE Edward Raff Jon Barker Jared Sylvester Robert Brandon Bryan Catanzaro Charles K. Nicholas 62 544 0 25 Oct 2017
Generative Adversarial Networks: An Overview Antonia Creswell Tom White Vincent Dumoulin Kai Arulkumaran B. Sengupta Anil A Bharath GAN 111 3,049 0 19 Oct 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 304 12,069 0 19 Jun 2017
Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN Weiwei Hu Ying Tan GAN 70 461 0 20 Feb 2017
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 277 19,066 0 20 Dec 2014