☆18Apr 4, 2021Updated 4 years ago
Alternatives and similar repositories for Robust-Android-Malware-Detection-Against-Adversarial-Example-Attacks
Users that are interested in Robust-Android-Malware-Detection-Against-Adversarial-Example-Attacks are comparing it to the libraries listed below
Sorting:
- the instructions about request access to AdvDroidZero☆13Apr 10, 2024Updated last year
- 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 10 months ago
- adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants☆58Mar 24, 2023Updated 2 years ago
- Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering☆14Dec 27, 2020Updated 5 years ago
- ☆27Jan 17, 2024Updated 2 years ago
- A novel and interpretable ML-based approach to classify malware with high accuracy and explain the classification result meanwhile.☆28Nov 23, 2022Updated 3 years ago
- A curated resource list of adversarial attacks and defenses for Windows PE malware detection.☆75Sep 2, 2022Updated 3 years ago
- Code for the paper Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers☆60Apr 29, 2022Updated 3 years ago
- Papers, code and datasets about deep learning for Android malware defenses and malware detection☆148Nov 21, 2023Updated 2 years ago
- ☆24Apr 17, 2020Updated 5 years ago
- MalScan: Fast Market-Wide Mobile Malware Scanning by Social-Network Centrality Analysis☆43Apr 24, 2020Updated 5 years ago
- ☆11Jul 8, 2024Updated last year
- Exercises for practicing MLSec for Systems Security☆10Sep 2, 2024Updated last year
- Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"☆56May 14, 2024Updated last year
- deep learning, malware detection, predictive uncertainty, dataset shift, calibration, uncertainty quantification, android malware☆16Nov 30, 2021Updated 4 years ago
- MAB-Malware an open-source reinforcement learning framework to generate AEs for PE malware. We model this problem as a classic multi-arme…☆54Apr 15, 2025Updated 10 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）☆36Dec 27, 2021Updated 4 years ago
- Universal Robustness Evaluation Toolkit (for Evasion)☆32Sep 17, 2025Updated 5 months ago
- DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness (ICLR 2024)☆14Apr 22, 2024Updated last year
- Additional code and data for the automated malware generation paper☆13May 4, 2024Updated last year
- 从Androzoo下载数据集，区分年份以及良性/恶意应用，支持协程、代理、断点继续、错误重试等☆57Oct 19, 2023Updated 2 years ago
- A curated list of malware-related papers.☆34Feb 28, 2024Updated 2 years ago
- Building relation graph of Android APIs to catch the semantics between APIs, and used to enhancing Android malware detectors☆93Sep 23, 2022Updated 3 years ago
- A Query Efficient Natural Language Attack in a Black Box Setting☆17Sep 23, 2021Updated 4 years ago
- A Benchmark Dataset for Trustworthy Malware Family Classification under Concept Drift☆16Mar 14, 2025Updated 11 months ago
- ☆42Aug 6, 2021Updated 4 years ago
- Codes for AICS'2019 challenge problem☆22Oct 13, 2019Updated 6 years ago
- Defense from the 2020 Microsoft Evasion Competition☆17Apr 27, 2021Updated 4 years ago
- Ungrafting Malicious Code from Piggybacked Android Apps☆14Sep 27, 2016Updated 9 years ago
- Android Malware Detection with Graph Convolutional Networks using Function Call Graph and its Derivatives.☆40Aug 2, 2021Updated 4 years ago
- A new version used Androguard but not Soot to realize MaMadroid。☆19Mar 17, 2021Updated 4 years ago
- Harmonious Unification of Cacophonous Anti-Virus Vendor Labels for Android Malware☆51Jul 4, 2019Updated 6 years ago
- Source code of Malware Classification by Learning Semantic and Structural Features of Control Flow Graphs (TrustCom 2021)☆22Mar 17, 2022Updated 3 years ago
- Drebin - NDSS 2014 Re-implementation☆106Dec 20, 2017Updated 8 years ago
- ☆32Jul 6, 2023Updated 2 years ago
- Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications☆144Mar 25, 2023Updated 2 years ago
- [code] "CFGExplainer: Explaining Graph Neural Network-Based Malware Classification from Control Flow Graphs" by Jerome Dinal Herath, Prit…☆38Aug 2, 2022Updated 3 years ago
- ☆10Mar 12, 2024Updated last year