twosixlabs / armoryLinks
ARMORY Adversarial Robustness Evaluation Test Bed
☆186Updated last year
Alternatives and similar repositories for armory
Users that are interested in armory are comparing it to the libraries listed below
Sorting:
- ☆129Updated 3 years ago
- A Python library for Secure and Explainable Machine Learning☆189Updated 3 months ago
- Privacy Testing for Deep Learning☆210Updated last month
- PhD/MSc course on Machine Learning Security (Univ. Cagliari)☆218Updated this week
- A repository to quickly generate synthetic data and associated trojaned deep learning models☆82Updated 2 years ago
- Example external repository for interacting with armory.☆11Updated 3 years ago
- Benchmarking and Visualization Tool for Adversarial Machine Learning☆187Updated 2 years ago
- A certifiable defense against adversarial examples by training neural networks to be provably robust☆222Updated last year
- A unified benchmark problem for data poisoning attacks☆159Updated 2 years ago
- LaTeX source for the paper "On Evaluating Adversarial Robustness"☆255Updated 4 years ago
- Copycat CNN☆27Updated last year
- a CLI that provides a generic automation layer for assessing the security of ML models☆885Updated 2 months ago
- ☆23Updated 3 years ago
- Implementation of membership inference and model inversion attacks, extracting training data information from an ML model. Benchmarking …☆103Updated 5 years ago
- A curated list of academic events on AI Security & Privacy☆162Updated last year
- ☆148Updated last year
- Knockoff Nets: Stealing Functionality of Black-Box Models☆108Updated 2 years ago
- Universal Robustness Evaluation Toolkit (for Evasion)☆31Updated last month
- ☆86Updated last year
- 💡 Adversarial attacks on explanations and how to defend them☆328Updated 10 months ago
- A curated list of papers on adversarial machine learning (adversarial examples and defense methods).☆211Updated 3 years ago
- ☆99Updated 4 years ago
- Code for "On Adaptive Attacks to Adversarial Example Defenses"☆87Updated 4 years ago
- ☆41Updated last year
- Codes for reproducing the robustness evaluation scores in “Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approac…☆53Updated 7 years ago
- Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching☆110Updated last year
- [ICLR 2020] A repository for extremely fast adversarial training using FGSM☆448Updated last year
- CLEVER (Cross-Lipschitz Extreme Value for nEtwork Robustness) is a robustness metric for deep neural networks☆63Updated 4 years ago
- Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"☆228Updated 5 years ago
- Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"☆717Updated last year