On the Robustness of Malware Detectors to Adversarial Samples

On the Robustness of Malware Detectors to Adversarial Samples

5 August 2024

Muhammad Salman

Hassan Jameel Asghar

Muhammad Ikram

Sidharth Kaushik

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Papers citing "On the Robustness of Malware Detectors to Adversarial Samples"

12 / 12 papers shown

Title
Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash Lukas Struppek Dominik Hintersdorf Daniel Neider Kristian Kersting MIACV 64 49 0 12 Nov 2021
Binary Black-box Evasion Attacks Against Deep Learning-based Static Malware Detectors with Adversarial Byte-Level Language Model Mohammadreza Ebrahimi Ning Zhang Junjie Hu M. T. Raza Hsinchun Chen AAML 38 28 0 14 Dec 2020
SOREL-20M: A Large Scale Benchmark Dataset for Malicious PE Detection Richard E. Harang Ethan M. Rudd 59 103 0 14 Dec 2020
Malware Makeover: Breaking ML-based Static Analysis by Modifying Executable Bytes Keane Lucas Mahmood Sharif Lujo Bauer Michael K. Reiter S. Shintre AAML 68 68 0 19 Dec 2019
Explaining Vulnerabilities of Deep Learning to Adversarial Malware Binaries Christian Scano Battista Biggio Giovanni Lagorio Fabio Roli A. Armando AAML 55 131 0 11 Jan 2019
Exploring Adversarial Examples in Malware Detection Octavian Suciu Scott E. Coull Jeffrey Johns AAML 73 193 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 73 210 0 26 Jan 2018
Malware Detection by Eating a Whole EXE Edward Raff Jon Barker Jared Sylvester Robert Brandon Bryan Catanzaro Charles K. Nicholas 71 546 0 25 Oct 2017
The Space of Transferable Adversarial Examples Florian Tramèr Nicolas Papernot Ian Goodfellow Dan Boneh Patrick McDaniel AAML SILM 92 558 0 11 Apr 2017
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 282 8,583 0 16 Aug 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 545 5,910 0 08 Jul 2016
Adversarial Perturbations Against Deep Neural Networks for Malware Classification Kathrin Grosse Nicolas Papernot Praveen Manoharan Michael Backes Patrick McDaniel AAML 67 418 0 14 Jun 2016

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