johnnyzn / MalRNNLinks
An RNN-based framework to evade opensource anti-virus which is also deep learning-based. E.g., MalConv and Non-Negative MalConv.
☆12Updated 5 years ago
Alternatives and similar repositories for MalRNN
Users that are interested in MalRNN are comparing it to the libraries listed below
Sorting:
- Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"☆54Updated last year
- Code for our DLS'21 paper - BODMAS: An Open Dataset for Learning based Temporal Analysis of PE Malware. BODMAS is short for Blue Hexagon …☆85Updated last year
- Create adversarial attacks against machine learning Windows malware detectors☆234Updated 3 months ago
- A curated resource list of adversarial attacks and defenses for Windows PE malware detection.☆72Updated 3 years ago
- MAB-Malware an open-source reinforcement learning framework to generate AEs for PE malware. We model this problem as a classic multi-arme…☆51Updated 5 months ago
- Code for the paper Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers☆59Updated 3 years ago
- Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection☆70Updated 4 years ago
- On Training Robust PDF Malware Classifiers (Usenix Security'20) https://arxiv.org/abs/1904.03542☆30Updated 3 years ago
- This is the implementation of MalConv proposed in [Malware Detection by Eating a Whole EXE](https://arxiv.org/abs/1710.09435) and its adv…☆89Updated 6 years ago
- Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering☆13Updated 4 years ago
- Malware Bypass Research using Reinforcement Learning☆106Updated last year
- Realization of paper: "Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN" 2017☆128Updated 7 years ago
- Adversarial Malware Generator Using GANs☆55Updated last year
- Discovering Malicious Functionality through Binary Reconstruction☆58Updated 4 years ago
- Malware Classification using Machine learning☆72Updated 10 months ago
- ☆28Updated 4 years ago
- Continuous Learning for Android Malware Detection (USENIX Security 2023)☆71Updated 2 years ago
- [AdvML@KDD 2019] Robust Malware Detection Challenge☆17Updated 5 years ago
- ☆18Updated last year
- Corresponding code to "Improving Robustness of ML Classifiers against Realizable Evasion Attacks Using Conserved Features" @ USENIX Secur…☆11Updated 6 years ago
- Effects of packers on machine-learning-based malware classifiers that use only static analysis☆87Updated last year
- Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"☆47Updated 3 years ago
- Additional code and data for the automated malware generation paper☆13Updated last year
- [IEEE S&P Workshop 2018] "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware" Abdullah Al-Dujaili, Alex Huang, Erik…☆109Updated last year
- Defense from the 2020 Microsoft Evasion Competition☆17Updated 4 years ago
- 主题为”基于GAN的恶意软件对抗样本生成“。首先介绍了恶意软件发展现状,引出基于模式匹配、特征空间和问题空间三种方式去检测恶意软件。然后介绍了如何生成对抗样本攻击恶意软件检测器,详细介绍了基于GAN的恶意软件对抗样本的MalGAN框架,并对实验结果进行了对比。最后总结了结构…☆35Updated 4 years ago
- Pytorch implementation of MalConv☆71Updated 3 years ago
- Dataset with labeled benign and malicious files 🗃️☆133Updated 2 years ago
- ☆16Updated 4 years ago
- ☆24Updated last year