All Papers

Title

Binary Black-box Evasion Attacks Against Deep Learning-based Static
Malware Detectors with Adversarial Byte-Level Language Model

Binary Black-box Evasion Attacks Against Deep Learning-based Static Malware Detectors with Adversarial Byte-Level Language Model

14 December 2020

Mohammadreza Ebrahimi

ArXiv (abs)PDF HTML

Papers citing "Binary Black-box Evasion Attacks Against Deep Learning-based Static Malware Detectors with Adversarial Byte-Level Language Model"

11 / 11 papers shown

Title
LLMalMorph: On The Feasibility of Generating Variant Malware using Large-Language-Models Md Ajwad Akil A. Li Imtiaz Karim Arun Iyengar Ashish Kundu Vinny Parla Elisa Bertino 38 0 0 12 Jul 2025
On the Robustness of Malware Detectors to Adversarial Samples Muhammad Salman B. Zhao Hassan Jameel Asghar Muhammad Ikram Sidharth Kaushik M. Kâafar AAML 85 0 0 05 Aug 2024
Evading Deep Learning-Based Malware Detectors via Obfuscation: A Deep Reinforcement Learning Approach Brian Etter Junjie Hu Mohammedreza Ebrahimi Weifeng Li Xin Li Hsinchun Chen 134 3 0 04 Feb 2024
Creating Valid Adversarial Examples of Malware M. Kozák M. Jureček Mark Stamp Fabio Di Troia AAML 103 11 0 23 Jun 2023
Combining Generators of Adversarial Malware Examples to Increase Evasion Rate M. Kozák M. Jureček AAML 50 1 0 14 Apr 2023
Multi-view Representation Learning from Malware to Defend Against Adversarial Variants Junjie Hu Mohammadreza Ebrahimi Weifeng Li Xin Li Hsinchun Chen AAML 74 3 0 25 Oct 2022
StratDef: Strategic Defense Against Adversarial Attacks in ML-based Malware Detection Aqib Rashid Jose Such AAML 167 8 0 15 Feb 2022
Single-Shot Black-Box Adversarial Attacks Against Malware Detectors: A Causal Language Model Approach Junjie Hu Mohammadreza Ebrahimi Hsinchun Chen AAML 79 12 0 03 Dec 2021
A Comparison of State-of-the-Art Techniques for Generating Adversarial Malware Binaries P. Dasgupta Zachary Osman AAML 95 2 0 22 Nov 2021
Mal2GCN: A Robust Malware Detection Approach Using Deep Graph Convolutional Networks With Non-Negative Weights Omid Kargarnovin A. M. Sadeghzadeh R. Jalili AAML 149 10 0 27 Aug 2021
Learning Fast and Slow: PROPEDEUTICA for Real-time Malware Detection Ruimin Sun Xiaoyong Yuan Pan He Qile Zhu Aokun Chen André Grégio Daniela Oliveira Xiaolin Li AAML 71 12 0 04 Dec 2017