☆11Feb 19, 2024Updated 2 years ago
Alternatives and similar repositories for android-malware-classification
Users that are interested in android-malware-classification are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A Federated Learning based Android Malware Classification System☆27Feb 15, 2024Updated 2 years ago
- ☆14Sep 28, 2023Updated 2 years ago
- Papers, code and datasets about deep learning for Android malware defenses and malware detection☆148Nov 21, 2023Updated 2 years ago
- ☆59Mar 11, 2018Updated 8 years ago
- Code library for the Tesseract framework from 'TESSERACT: Eliminating experimental bias in malware classification across space and time'☆18Dec 10, 2024Updated last year
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Accurate Mobile-App Fingerprinting Using Flow-level Relationship with Graph Neural Networks☆32Aug 28, 2022Updated 3 years ago
- ☆11Jul 2, 2025Updated 9 months ago
- A Benchmark Dataset for Trustworthy Malware Family Classification under Concept Drift☆18Mar 14, 2025Updated last year
- Fork of https://github.com/androguard/androguard w/ bug fixes tests☆15Jan 13, 2022Updated 4 years ago
- 🤖Android malware detection using deep learning, contains android malware samples, papers, tools etc.🐛☆179Oct 12, 2020Updated 5 years ago
- Exercises for practicing MLSec for Systems Security☆10Sep 2, 2024Updated last year
- The dataset, source code and the results of our ESEC/FSE 2023 paper "An Extensive Study on Adversarial Attack against Pre-trained Models …☆15Feb 19, 2024Updated 2 years ago
- deep learning, malware detection, predictive uncertainty, dataset shift, calibration, uncertainty quantification, android malware☆17Nov 30, 2021Updated 4 years ago
- Cybersecurity Data Mining Competition 2016☆11Jan 19, 2019Updated 7 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- 使用安卓Opcode字节码的N-gram序列特征进行恶意软件检测的完全步骤，使用算法RF，KNN☆18Aug 22, 2020Updated 5 years ago
- Racket code and annotations for The Little Schemer☆23Jan 25, 2022Updated 4 years ago
- ☆14Apr 10, 2024Updated 2 years ago
- A curated list of malware-related papers.☆34Feb 28, 2024Updated 2 years ago
- Android Malware Detection using Deep Learning☆53Aug 21, 2019Updated 6 years ago
- Code for Deep Android Malware Detection paper☆181Nov 25, 2017Updated 8 years ago
- A Practical Deep Learning-based Android Malware Detection System☆15Nov 4, 2022Updated 3 years ago
- Android Malware detection using Deep Learning Hybrid Model.☆24Mar 28, 2018Updated 8 years ago
- Adversarial Examples on KNN (and its neural network friends)☆19Mar 19, 2020Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- ☆15Mar 4, 2022Updated 4 years ago
- ☆22Jul 25, 2024Updated last year
- TabularBench: Adversarial robustness benchmark for tabular data☆19Oct 15, 2025Updated 5 months ago
- Ungrafting Malicious Code from Piggybacked Android Apps☆14Sep 27, 2016Updated 9 years ago
- ☆18Apr 4, 2021Updated 5 years ago
- Python tool for exploiting CVE-2021-35616☆11Dec 3, 2021Updated 4 years ago
- 请用 Matlab 完成如下通信链路基带性能仿真代码：卷积码（2， 1， 3）生成多项式为(15,17）8调制方式 BPSK； ③信道 AWGN；④理想同步；⑤译码方法 Viterbi 算法；☆29May 14, 2019Updated 6 years ago
- 🔍 "2015 Microsoft Malware Classification Challenge" - Using machine learning to classify malware into different families based on Window…☆31Feb 13, 2024Updated 2 years ago
- using Drebin dataset to distinguish between malwares and not malwares☆13Jan 5, 2019Updated 7 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- adversarial malware detection via a principled way☆24Apr 27, 2023Updated 2 years ago
- Official code for the paper entitled "Enhancing Android Malware Detection with Adversarial Purification against Evasion Attacks"☆31Apr 15, 2025Updated 11 months ago
- Android Malware Detection with Graph Convolutional Networks using Function Call Graph and its Derivatives.☆39Aug 2, 2021Updated 4 years ago
- Detecting and Classifying Android Malware using Deep Learning Techniques☆24Jun 16, 2020Updated 5 years ago
- These are tools I cheated with the help of ChatGPT to help me with Penetration Testing and Red Teaming☆14Feb 24, 2024Updated 2 years ago
- Universal Robustness Evaluation Toolkit (for Evasion)☆32Sep 17, 2025Updated 6 months ago
- Identifying and Explaining Similarities in Android Apps☆29Jul 28, 2018Updated 7 years ago