sachith500 / Sherlock
This repository contains experiments for different publications at the intersection of Computer Vision and Computer Security.
☆22Updated 6 months ago
Related projects: ⓘ
- Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection☆58Updated 3 years ago
- Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering☆12Updated 3 years ago
- Training Vision Transformers from Scratch for Malware Classification☆26Updated 3 years ago
- ☆24Updated 2 years ago
- Malware Classification using Machine learning☆69Updated last year
- ☆14Updated 3 years ago
- The code and data for Dynamic Malware Analysis with Feature Engineering and Feature Learning.☆27Updated 4 years ago
- ☆27Updated 3 years ago
- Transfer Learning for Image-Based Malware Classification☆47Updated 2 years ago
- adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants☆52Updated last year
- 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…☆30Updated 3 years ago
- Codes for AICS'2019 challenge problem☆22Updated 4 years ago
- Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"☆38Updated 2 years ago
- [AdvML@KDD 2019] Robust Malware Detection Challenge☆17Updated 4 years ago
- deep learning, malware detection, predictive uncertainty, dataset shift, calibration, uncertainty quantification, android malware☆13Updated 2 years ago
- ☆14Updated 2 years ago
- Android Malware Detection with Graph Convolutional Networks using Function Call Graph and its Derivatives.☆33Updated 3 years ago
- Few-Shot malware classification using fused features of static analysis and dynamic analysis (基于静态+动态分析的混合特征的小样本恶意代码分类框架)☆26Updated 2 years ago
- A neural approach to malware detection in portable executables☆72Updated last year
- FewShot Malware Classification based on API call sequences, also as code repo for "A Novel Few-Shot Malware Classification Approach for U…☆14Updated 3 years ago
- Continuous Learning for Android Malware Detection (USENIX Security 2023)☆57Updated 11 months ago
- CNN based android malware detection system☆22Updated 5 years ago
- A curated resource list of adversarial attacks and defenses for Windows PE malware detection.☆66Updated 2 years ago
- adversarial malware detection via a principled way☆14Updated 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 …☆71Updated 5 months ago
- With the growth of mobile devices and applications, the number of malicious software, or malware, is rapidly increasing in recent years, …☆21Updated 5 years ago
- Explainable AI for Android Malware Detection: Towards Understanding Why the Models Perform So Well?☆11Updated 2 years ago
- ☆27Updated 5 years ago
- Discovering Malicious Functionality through Binary Reconstruction☆51Updated 3 years ago
- ☆32Updated last month