sachith500 / SherlockLinks
This repository contains experiments for different publications at the intersection of Computer Vision and Computer Security.
☆28Updated last year
Alternatives and similar repositories for Sherlock
Users that are interested in Sherlock are comparing it to the libraries listed below
Sorting:
- Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection☆74Updated last month
- ☆31Updated 3 years ago
- A neural approach to malware detection in portable executables☆79Updated 2 years ago
- FewShot Malware Classification based on API call sequences, also as code repo for "A Novel Few-Shot Malware Classification Approach for U…☆19Updated 4 years ago
- Malware Classification using Machine learning☆74Updated 11 months ago
- ☆28Updated 5 years ago
- ☆16Updated 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
- Transfer Learning for Image-Based Malware Classification☆46Updated 3 years ago
- adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants☆57Updated 2 years ago
- The code and data for Dynamic Malware Analysis with Feature Engineering and Feature Learning.☆34Updated 11 months ago
- A Benchmark Dataset for Trustworthy Malware Family Classification under Concept Drift☆15Updated 7 months ago
- Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering☆14Updated 4 years ago
- deep learning, malware detection, predictive uncertainty, dataset shift, calibration, uncertainty quantification, android malware☆16Updated 3 years ago
- Training Vision Transformers from Scratch for Malware Classification☆29Updated 4 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 …☆87Updated last year
- Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"☆55Updated last year
- Dataset with labeled benign and malicious files 🗃️☆140Updated 2 years ago
- Android Malware Detection with Graph Convolutional Networks using Function Call Graph and its Derivatives.☆39Updated 4 years ago
- DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness (ICLR 2024)☆14Updated last year
- Codes for AICS'2019 challenge problem☆22Updated 6 years ago
- A Federated Learning based Android Malware Classification System☆27Updated 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
- Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications☆144Updated 2 years ago
- ☆20Updated 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)☆33Updated 3 years ago
- ☆26Updated 6 years ago
- Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API cal…☆249Updated 3 years ago
- Papers, code and datasets about deep learning for Android malware defenses and malware detection☆148Updated last year
- A curated resource list of adversarial attacks and defenses for Windows PE malware detection.☆73Updated 3 years ago