robo-sq

adversarial-robustness-toolbox

Python library for adversarial attacks and defenses for neural networks, logistic regression, decision trees, SVM, gradient boosted trees, and more with multiple framework support

dash

implementation of DASH algorithm

facenet-pytorch

Pretrained Pytorch face detection (MTCNN) and recognition (InceptionResnet) models

gpages

instance_specific_approximations

Code for the ICML 2021 paper: Instance Specific Approximations for Submodular Maximization

robust_features_with_inductive_bias

smoothing-adversarial

Code replicating the results of our "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers" paper

testgpages

streamlit

Streamlit — A faster way to build and share data apps.

adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

robo-sq/dash

implementation of DASH algorithm

robo-sq/robust_features_with_inductive_bias

robo-sq/adversarial-robustness-toolbox

Python library for adversarial attacks and defenses for neural networks, logistic regression, decision trees, SVM, gradient boosted trees, and more with multiple framework support

robo-sq/facenet-pytorch

Pretrained Pytorch face detection (MTCNN) and recognition (InceptionResnet) models

robo-sq/gpages

robo-sq/instance_specific_approximations

Code for the ICML 2021 paper: Instance Specific Approximations for Submodular Maximization

robo-sq/smoothing-adversarial

Code replicating the results of our "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers" paper

robo-sq/testgpages