Maksym Andriushchenko (max-andr)

max-andr

Geek Repo

Company:EPFL

Location:Lausanne

Home Page:https://scholar.google.com/citations?user=ZNtuJYoAAAAJ

Twitter:@maksym_andr

Github PK Tool:Github PK Tool


Organizations
RobustBench
tml-epfl

Maksym Andriushchenko's repositories

relu_networks_overconfident

Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem [CVPR 2019, oral]

square-attack

Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]

Language:PythonLicense:BSD-3-ClauseStargazers:102Issues:4Issues:13

joint-cnn-mrf

Implementation of "Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation"

Language:PythonLicense:MITStargazers:49Issues:2Issues:2

provably-robust-boosting

Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks [NeurIPS 2019]

Language:PythonLicense:BSD-3-ClauseStargazers:46Issues:5Issues:2

provable-robustness-max-linear-regions

Provable Robustness of ReLU networks via Maximization of Linear Regions [AISTATS 2019]

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:29Issues:0Issues:0

cross-lipschitz

Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation [NeurIPS 2017]

Language:PythonStargazers:19Issues:4Issues:0

Papers-of-Robust-ML

Related papers for robust machine learning

qa-semantic-web

Bachelor Thesis: A simple way to interact with the Semantic Web using a natural language

Language:PythonLicense:Apache-2.0Stargazers:2Issues:0Issues:0

awesome-anomaly-detection

A curated list of awesome anomaly detection resources

awesome-decision-tree-papers

A collection of research papers on decision, classification and regression trees with implementations.

License:CC0-1.0Stargazers:1Issues:1Issues:0

awesome-gradient-boosting-papers

A curated list of gradient boosting research papers with implementations.

License:CC0-1.0Stargazers:1Issues:1Issues:0

MIPVerify_data

Data for MIPVerify package.

Language:PythonLicense:MITStargazers:1Issues:1Issues:0

Provable-Training-and-Verification-Approaches-Towards-Robust-Neural-Networks

This repo keeps track of popular provable training and verification approaches towards robust neural networks, including leaderboards on popular datasets and paper categorization.

robustbench

RobustBench: a standardized adversarial robustness benchmark [arXiv, Oct 2020]

Language:PythonLicense:NOASSERTIONStargazers:1Issues:0Issues:0

robustml

Interfaces for defining Robust ML models and precisely specifying the threat models under which they claim to be secure.

Language:PythonLicense:MITStargazers:1Issues:0Issues:0
Stargazers:0Issues:0Issues:0