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).
☆19Updated 2 years ago
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☆60Updated 3 years ago
- Continuous Learning for Android Malware Detection (USENIX Security 2023)☆73Updated 2 years ago
- ☆27Updated 2 years ago
- CCS 2023 | Explainable malware and vulnerability detection with XAI in paper "FINER: Enhancing State-of-the-art Classifiers with Feature …☆11Updated last year
- A Python library for Secure and Explainable Machine Learning☆191Updated 7 months ago
- Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"☆56Updated last year
- ☆11Updated last year
- Library for training globally-robust neural networks.☆31Updated 6 months ago
- On Training Robust PDF Malware Classifiers (Usenix Security'20) https://arxiv.org/abs/1904.03542☆30Updated 4 years ago
- deep learning, malware detection, predictive uncertainty, dataset shift, calibration, uncertainty quantification, android malware☆16Updated 4 years ago
- ☆151Updated last year
- Code release for RobOT (ICSE'21)☆15Updated 3 years ago
- ☆68Updated 5 years ago
- This repo keeps track of popular provable training and verification approaches towards robust neural networks, including leaderboards on …☆98Updated 3 years ago
- adversarial malware detection via a principled way☆24Updated 2 years ago
- Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples☆19Updated 3 years ago
- adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants☆58Updated 2 years ago
- PhD/MSc course on Machine Learning Security (Univ. Cagliari)☆226Updated last month
- Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications☆144Updated 2 years ago
- ☆55Updated 6 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…☆53Updated 9 months ago
- Exercises for practicing MLSec for Systems Security☆10Updated last year
- ☆29Updated 2 years ago
- A united toolbox for running major robustness verification approaches for DNNs. [S&P 2023]☆90Updated 2 years ago
- ☆18Updated last year
- ☆25Updated 2 years ago
- ☆127Updated last year
- Machine Learning & Security Seminar @Purdue University☆25Updated 2 years ago
- SecML-Torch: A Library for Robustness Evaluation of Deep Learning Models☆105Updated last week
- TrojanLM: Trojaning Language Models for Fun and Profit☆16Updated 4 years ago