jackfromeast / ViDDD-Video-based-Distracted-Driver-Detection
A video-based distracted driver detection system.
☆21Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for ViDDD-Video-based-Distracted-Driver-Detection
- BambooFuzz: An IoT Firmware Vulnerability Mining System based on Static and Dynamic Analysis☆52Updated 2 years ago
- 使用DES加密算法通过四种操作模式(ECB\CBC\CFB\OFB)实现对文件的加密;Using DES algorithm encode files through four different patterns☆10Updated 4 years ago
- 基于深度学习的恶意软件检测研究;MalConv;☆82Updated 2 years ago
- A curated list of malware-related papers.☆22Updated 8 months 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)☆28Updated 2 years ago
- Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"☆41Updated 2 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…☆31Updated 3 years ago
- A unified framework for AI-enhanced code analysis.☆9Updated last year
- Academic Papers about LLM Application on Security☆106Updated 5 months ago
- Building relation graph of Android APIs to catch the semantics between APIs, and used to enhancing Android malware detectors☆78Updated 2 years ago
- A collection of security papers on top-tier publications☆35Updated last month
- Code for paper "SrcMarker: Dual-Channel Source Code Watermarking via Scalable Code Transformations" (IEEE S&P 2024)☆19Updated 3 months ago
- 2018年全国大学生信息安全竞赛作品赛一等奖☆25Updated 4 years ago
- 该资源为恶意代码检测相关的论文或文章总结,包括作者撰写的恶意代码与机器学习、深度学习相关博客,希望对您有所帮助~☆13Updated 4 years ago
- 全国大学生信息安全竞赛作品赛 非官方 LaTex 论文模板☆21Updated 11 months ago
- This is a benchmark for evaluating the vulnerability discovery ability of automated approaches including Large Language Models (LLMs), de…☆60Updated last month
- Official Repository of "Robust Malware Classification via Deep Graph Networks on Call Graph Topologies" (ESANN 2021)☆11Updated last year
- A novel and interpretable ML-based approach to classify malware with high accuracy and explain the classification result meanwhile.☆26Updated last year
- An explainable GNN-based Android malware detection system in paper "MsDroid: Identifying Malicious Snippets for Android Malware Detection…☆50Updated 8 months ago
- Simple PyTorch implementations of Badnets on MNIST and CIFAR10.☆154Updated 2 years ago
- [code] "CFGExplainer: Explaining Graph Neural Network-Based Malware Classification from Control Flow Graphs" by Jerome Dinal Herath, Prit…☆33Updated 2 years ago
- Evading Provenance-Based ML Detectors with Adversarial System Actions☆25Updated 2 months ago
- AI Model Security Reading Notes☆35Updated 3 months ago
- This is the official repository for VulHawk.☆65Updated last year
- source code for USENIX Security paper xNIDS☆34Updated 2 months ago
- Seminar 2022☆21Updated 2 weeks ago
- Source code of Malware Classification by Learning Semantic and Structural Features of Control Flow Graphs (TrustCom 2021)☆18Updated 2 years ago
- Continuous Learning for Android Malware Detection (USENIX Security 2023)☆58Updated last year
- DataCon大数据安全分析大赛,2019年方向二(恶意代码检测)冠军源码、2020年方向五(恶意代码分析)季军源码☆103Updated 3 years ago
- adversarial malware detection via a principled way☆16Updated last year