ALFA-group / malware_challenge
[AdvML@KDD 2019] Robust Malware Detection Challenge
☆17Updated 5 years ago
Alternatives and similar repositories for malware_challenge:
Users that are interested in malware_challenge are comparing it to the libraries listed below
- MAB-Malware an open-source reinforcement learning framework to generate AEs for PE malware. We model this problem as a classic multi-arme…☆44Updated 3 weeks ago
- A curated resource list of adversarial attacks and defenses for Windows PE malware detection.☆70Updated 2 years ago
- ☆29Updated 2 years ago
- [IEEE S&P Workshop 2018] "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware" Abdullah Al-Dujaili, Alex Huang, Erik…☆106Updated 9 months ago
- ☆22Updated 3 years ago
- Malware Bypass Research using Reinforcement Learning☆105Updated last year
- ☆79Updated 5 years ago
- Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering☆13Updated 4 years ago
- ☆14Updated 4 years ago
- Discovering Malicious Functionality through Binary Reconstruction☆54Updated 3 years ago
- Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"☆51Updated 11 months ago
- Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"☆45Updated 3 years ago
- Malware Classification using Machine learning☆71Updated 5 months ago
- adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants☆57Updated 2 years ago
- Effects of packers on machine-learning-based malware classifiers that use only static analysis☆86Updated 10 months ago
- Defense from the 2020 Microsoft Evasion Competition☆16Updated 4 years ago
- Training Vision Transformers from Scratch for Malware Classification☆28Updated 3 years ago
- Code for our DLS'21 paper - BODMAS: An Open Dataset for Learning based Temporal Analysis of PE Malware. BODMAS is short for Blue Hexagon …☆80Updated last year
- With the growth of mobile devices and applications, the number of malicious software, or malware, is rapidly increasing in recent years, …☆23Updated 5 years ago
- Source code of Malware Classification by Learning Semantic and Structural Features of Control Flow Graphs (TrustCom 2021)☆21Updated 3 years ago
- Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection☆62Updated 4 years ago
- Transfer Learning for Image-Based Malware Classification☆46Updated 3 years ago
- Adversarial Malware Generator Using GANs☆54Updated 9 months ago
- ☆50Updated 9 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…☆34Updated 3 years ago
- Reproduction of the paper//arxiv.org/pdf/1803.04173.pdf☆18Updated 6 years ago
- ☆16Updated 4 years ago
- Code for Benchmarking two ML Approaches performing Authorship Attribution☆36Updated 3 years ago
- The Tangled Genealogy of IoT Malware☆12Updated 4 years ago
- ☆28Updated 4 years ago