isneslab / mlsec-labsLinks
Exercises for practicing MLSec for Systems Security
☆9Updated 9 months ago
Alternatives and similar repositories for mlsec-labs
Users that are interested in mlsec-labs are comparing it to the libraries listed below
Sorting:
- Code library for the Tesseract framework from 'TESSERACT: Eliminating experimental bias in malware classification across space and time'☆12Updated 5 months ago
- Continuous Learning for Android Malware Detection (USENIX Security 2023)☆69Updated last year
- Code for the paper Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers☆59Updated 3 years ago
- Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"☆52Updated last year
- ☆22Updated last year
- A Benchmark Dataset for Trustworthy Malware Family Classification under Concept Drift☆12Updated 2 months ago
- adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants☆57Updated 2 years ago
- [IEEE S&P Workshop 2018] "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware" Abdullah Al-Dujaili, Alex Huang, Erik…☆106Updated 10 months ago
- This repository contains code and data of the paper **On the Limitations of Continual Learning for Malware Classification**, accepted to …☆17Updated last year
- A curated list of malware-related papers.☆28Updated last year
- Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering☆13Updated 4 years ago
- ☆16Updated 4 years ago
- adversarial malware detection via a principled way☆20Updated 2 years ago
- ☆11Updated 10 months ago
- DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness (ICLR 2024)☆14Updated last year
- Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"☆45Updated 3 years ago
- [code] "CFGExplainer: Explaining Graph Neural Network-Based Malware Classification from Control Flow Graphs" by Jerome Dinal Herath, Prit…☆35Updated 2 years ago
- Building relation graph of Android APIs to catch the semantics between APIs, and used to enhancing Android malware detectors☆87Updated 2 years ago
- An explainable GNN-based Android malware detection system in paper "MsDroid: Identifying Malicious Snippets for Android Malware Detection…☆58Updated last year
- deep learning, malware detection, predictive uncertainty, dataset shift, calibration, uncertainty quantification, android malware☆16Updated 3 years ago
- ☆30Updated 2 years ago
- the instructions about request access to AdvDroidZero☆11Updated last year
- Android Malware Detection with Graph Convolutional Networks using Function Call Graph and its Derivatives.☆38Updated 3 years ago
- ☆31Updated 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 …☆81Updated last year
- MAB-Malware an open-source reinforcement learning framework to generate AEs for PE malware. We model this problem as a classic multi-arme…☆46Updated last month
- A novel and interpretable ML-based approach to classify malware with high accuracy and explain the classification result meanwhile.☆27Updated 2 years ago
- Additional code and data for the automated malware generation paper☆13Updated last year
- Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection☆62Updated 4 years ago
- A deep learning-based vulnerability detection framework☆76Updated last year