pralab / secml
A Python library for Secure and Explainable Machine Learning
☆170Updated 3 weeks ago
Alternatives and similar repositories for secml:
Users that are interested in secml are comparing it to the libraries listed below
- SecML-Torch: A Library for Robustness Evaluation of Deep Learning Models☆47Updated 3 weeks ago
- PhD/MSc course on Machine Learning Security (Univ. Cagliari)☆208Updated 2 months ago
- ARMORY Adversarial Robustness Evaluation Test Bed☆177Updated last year
- A curated list of academic events on AI Security & Privacy☆141Updated 6 months ago
- ☆120Updated 3 years ago
- ☆142Updated 4 months ago
- Universal Robustness Evaluation Toolkit (for Evasion)☆31Updated 11 months ago
- Code for the paper Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers☆57Updated 2 years ago
- A repository to quickly generate synthetic data and associated trojaned deep learning models☆75Updated last year
- A repository of Language Model Vulnerabilities and Exposures (LVEs).☆108Updated 11 months ago
- Create adversarial attacks against machine learning Windows malware detectors☆214Updated 3 weeks ago
- 💡 Adversarial attacks on explanations and how to defend them☆310Updated 2 months ago
- Implementation of membership inference and model inversion attacks, extracting training data information from an ML model. Benchmarking …☆102Updated 5 years ago
- Privacy Testing for Deep Learning☆197Updated last year
- Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples☆19Updated 2 years ago
- Copycat CNN☆27Updated 10 months ago
- Malware Bypass Research using Reinforcement Learning☆104Updated 9 months ago
- A unified benchmark problem for data poisoning attacks☆152Updated last year
- An awesome list of papers on privacy attacks against machine learning☆585Updated 11 months ago
- Code for ML Doctor☆86Updated 6 months ago
- Malware datasets tagged by behavior, platform, vulnerability, and packer☆21Updated 11 months ago
- TrojanZoo provides a universal pytorch platform to conduct security researches (especially backdoor attacks/defenses) of image classifica…☆290Updated 6 months ago
- A library for running membership inference attacks against ML models☆142Updated 2 years ago
- A curated list of papers on adversarial machine learning (adversarial examples and defense methods).☆210Updated 2 years ago
- ☆64Updated 4 years ago
- This repository contains code and data of the paper **On the Limitations of Continual Learning for Malware Classification**, accepted to …☆17Updated last year
- ☆23Updated last year
- Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models☆125Updated 10 months ago
- Papers I have collected and read in undergraduate and graduate period☆48Updated last year
- ☆18Updated last year