maurapintor / pandavision
Security evaluation module with onnx, pytorch, and SecML.
☆13Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for pandavision
- Create adversarial attacks against machine learning Windows malware detectors☆205Updated 3 months ago
- A Python library for Secure and Explainable Machine Learning☆152Updated 5 months ago
- SecML-Torch: A Library for Robustness Evaluation of Deep Learning Models☆34Updated last week
- Realization of paper: "Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN" 2017☆116Updated 6 years ago
- Implementation of membership inference and model inversion attacks, extracting training data information from an ML model. Benchmarking …☆99Updated 5 years ago
- PhD/MSc course on Machine Learning Security (Univ. Cagliari)☆198Updated this week
- Code for the paper Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers☆56Updated 2 years ago
- Copycat CNN☆26Updated 6 months ago
- Universal Robustness Evaluation Toolkit (for Evasion)☆30Updated 8 months ago
- ☆19Updated 3 years ago
- Malware Bypass Research using Reinforcement Learning☆102Updated 6 months ago
- ARMORY Adversarial Robustness Evaluation Test Bed☆176Updated 9 months ago
- Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"☆47Updated 5 months ago
- Benchmarking and Visualization Tool for Adversarial Machine Learning☆186Updated last year
- Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection☆59Updated 3 years ago
- ☆120Updated 2 years ago
- ☆74Updated 4 years ago
- Adversarial Malware Generator Using GANs☆52Updated 3 months ago
- We implement MalGAN to attack several PDF classifiers and evaluate the robustness of those models.☆23Updated 2 years ago
- [IEEE S&P Workshop 2018] "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware" Abdullah Al-Dujaili, Alex Huang, Erik…☆102Updated 3 months ago
- ☆55Updated 5 years ago
- A repository to quickly generate synthetic data and associated trojaned deep learning models☆74Updated last year
- This is a paper list about Machine Learning for IDSes☆86Updated 2 months ago
- MAB-Malware an open-source reinforcement learning framework to generate AEs for PE malware. We model this problem as a classic multi-arme…☆40Updated last year
- Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications☆128Updated last year
- This repository contains code and data of the paper **On the Limitations of Continual Learning for Malware Classification**, accepted to …☆15Updated 10 months ago
- ☆140Updated last month
- Privacy Risks of Securing Machine Learning Models against Adversarial Examples☆44Updated 4 years ago
- ☆23Updated last year
- ☆18Updated 9 months ago