msrocean / continual-learning-malwareLinks
This repository contains code and data of the paper **On the Limitations of Continual Learning for Malware Classification**, accepted to be published at the First Conference on Lifelong Learning Agents (CoLLAs).
☆17Updated last year
Alternatives and similar repositories for continual-learning-malware
Users that are interested in continual-learning-malware are comparing it to the libraries listed below
Sorting:
- Code for the paper Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers☆59Updated 3 years ago
- ☆22Updated last year
- Continuous Learning for Android Malware Detection (USENIX Security 2023)☆69Updated last year
- Explainable malware and vulnerability detection with XAI in paper "FINER: Enhancing State-of-the-art Classifiers with Feature Attribution…☆11Updated 9 months ago
- Exercises for practicing MLSec for Systems Security☆9Updated 9 months ago
- Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"☆52Updated last year
- ☆66Updated 4 years ago
- deep learning, malware detection, predictive uncertainty, dataset shift, calibration, uncertainty quantification, android malware☆16Updated 3 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…☆46Updated last month
- ☆11Updated 10 months ago
- On Training Robust PDF Malware Classifiers (Usenix Security'20) https://arxiv.org/abs/1904.03542☆29Updated 3 years ago
- SecML-Torch: A Library for Robustness Evaluation of Deep Learning Models☆51Updated 3 months ago
- ☆16Updated 4 years ago
- adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants☆57Updated 2 years ago
- Anomaly Detection in the Open World: Normality Shift Detection, Explanation, and Adaptation (NDSS'23).☆68Updated 2 months ago
- adversarial malware detection via a principled way☆20Updated 2 years ago
- ☆55Updated 5 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 …☆81Updated last year
- A curated list of malware-related papers.☆28Updated last year
- Library for training globally-robust neural networks.☆28Updated last year
- DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness (ICLR 2024)☆14Updated last year
- Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples☆19Updated 3 years ago
- Transformer Neural Network from Dynamic Malware Detection☆31Updated 10 months ago
- Code Implementation for Traceback of Data Poisoning Attacks in Neural Networks☆19Updated 2 years ago
- ☆10Updated 4 years ago
- Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering☆13Updated 4 years ago
- Code release for RobOT (ICSE'21)☆15Updated 2 years ago
- Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection☆62Updated 4 years ago
- Machine Learning & Security Seminar @Purdue University☆25Updated 2 years ago
- PhD/MSc course on Machine Learning Security (Univ. Cagliari)☆210Updated 5 months ago