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GitHub topics: robust-machine-learning

lishenghui/blades

⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning

Language: Python - Size: 13.1 MB - Last synced at: about 6 hours ago - Pushed at: 7 months ago - Stars: 147 - Forks: 23

yanliang3612/awesome-imbalanced-learning-on-graphs

A repository contains a collection of resources and papers on Imbalance Learning On Graphs

Size: 3.32 MB - Last synced at: 4 days ago - Pushed at: 3 months ago - Stars: 93 - Forks: 11

emaballarin/CARSO

👀🛡️ Code for the paper “Carefully Blending Adversarial Training and Purification Improves Adversarial Robustness” by Emanuele Ballarin, Alessio Ansuini and Luca Bortolussi (2024)

Language: Python - Size: 68.4 KB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 7 - Forks: 1

monk1337/Awesome-Robust-Machine-Learning

A curated list of Robust Machine Learning papers/articles and recent advancements.

Size: 456 KB - Last synced at: 1 day ago - Pushed at: almost 3 years ago - Stars: 32 - Forks: 1

Renumics/awesome-open-data-centric-ai

Curated list of open source tooling for data-centric AI on unstructured data.

Size: 572 KB - Last synced at: 13 days ago - Pushed at: almost 2 years ago - Stars: 724 - Forks: 36

Trustworthy-ML-Lab/Robust_HighUtil_Smoothed_DRL

[ICML 24] S-DQN and S-PPO: Robust smoothed deep RL agents without sacrificing performance

Language: Python - Size: 216 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 5 - Forks: 0

aai-institute/pyDVL

pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation

Language: Python - Size: 436 MB - Last synced at: 1 day ago - Pushed at: 4 months ago - Stars: 136 - Forks: 7

EzgiKorkmaz/adversarial-reinforcement-learning

Reading list for adversarial perspective and robustness in deep reinforcement learning.

Size: 20.5 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 119 - Forks: 7

lucasangio01/vienna-airbnb

University group project: multivariate analysis of the Airbnbs in Vienna, Austria

Language: R - Size: 16 MB - Last synced at: 2 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 1

monk1337/Awesome-Distribution-Shift

A curated list of Distribution Shift papers/articles and recent advancements.

Size: 547 KB - Last synced at: 10 days ago - Pushed at: almost 3 years ago - Stars: 18 - Forks: 1

Shihab-Shahriar/scikit-clean

A collection of algorithms for detecting and handling label noise

Language: Python - Size: 838 KB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 16 - Forks: 3

weijiaheng/Advances-in-Label-Noise-Learning

A curated (most recent) list of resources for Learning with Noisy Labels

Size: 528 KB - Last synced at: 5 months ago - Pushed at: 11 months ago - Stars: 684 - Forks: 62

vio1etus/FLPoison

FLPoison: Benchmarking Poisoning Attacks and Defenses in Federated Learning

Language: Python - Size: 384 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 8 - Forks: 0

zjfheart/BadLabels

Challenging label noise called BadLabel; Robust label-noise learning called Robust DivideMix

Language: Python - Size: 39.6 MB - Last synced at: 5 months ago - Pushed at: over 1 year ago - Stars: 12 - Forks: 0

noopur-zambare/nc_pruning

Dense network pruning algorithm inspired from Neural Collapse geometry

Language: Jupyter Notebook - Size: 12.2 MB - Last synced at: 6 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

dlmacedo/robust-deep-learning

A project to train your model from scratch or fine-tune a pretrained model using the losses provided in this library to improve out-of-distribution detection and uncertainty estimation performances. Calibrate your model to produce enhanced uncertainty estimations. Detect out-of-distribution data using the defined score type and threshold.

Language: Python - Size: 4.16 MB - Last synced at: 3 months ago - Pushed at: almost 3 years ago - Stars: 17 - Forks: 3

Echo-Ji/ST-SSL

ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction

Language: Python - Size: 14.9 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 158 - Forks: 29

tonyduan/rs4a

Randomized Smoothing of All Shapes and Sizes (ICML 2020).

Language: Jupyter Notebook - Size: 2.38 MB - Last synced at: 5 months ago - Pushed at: about 5 years ago - Stars: 52 - Forks: 6

angelognazzo/Reliable-Trustworthy-AI

Repository for the Reliable and Trustworthy AI course offered in Fall 2022 at ETH Zürich: implementation of DeepPoly, Robustness Analyzer for Deep Neural Networks

Language: Python - Size: 6.84 MB - Last synced at: 4 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 1

NJUyued/RDA4RobustSSL

"RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning" by Yue Duan (ECCV 2022)

Language: Python - Size: 10 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 9 - Forks: 0

Bai-YT/AdaptiveSmoothing

Implementation of the paper "Improving the Accuracy-Robustness Trade-off of Classifiers via Adaptive Smoothing".

Language: Jupyter Notebook - Size: 1.6 MB - Last synced at: 5 months ago - Pushed at: over 1 year ago - Stars: 11 - Forks: 0

mahossam/Explain2Attack

Implementation of the paper: Explain2Attack: Text Adversarial Attacks via Cross-Domain Interpretability (ICPR 2020)

Language: Python - Size: 85 KB - Last synced at: 8 months ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 1

Bai-YT/MixedNUTS

MixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly Mixed Classifiers

Language: Python - Size: 717 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0

suinleelab/cxr_adv

Repository for the paper "An Adversarial Approach for the Robust Classification of Pneumonia from Chest Radiographs"

Language: Python - Size: 12.7 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 18 - Forks: 5

ekanshojha/Data-Science-Projects

Breast Cancer Detection - This project tackles the crucial challenge of early breast cancer detection using machine learning techniques. Using Machine learnig algorithms, Support Vector Machine, Randon Forest.

Language: Python - Size: 58.6 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

trustworthy-ml-course/trustworthy-ml-course.github.io

Trustworthy AI/ML course by Professor Birhanu Eshete, University of Michigan, Dearborn.

Language: HTML - Size: 1.98 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

shinke-li/pointcvar

The official implementation code of Paper "PointCVaR: Risk-optimized Outlier Removal for Robust 3D Point Cloud Classification" in AAAI 2024 (Oral)

Language: Python - Size: 3.69 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 0

autonlab/aqua

AQuA: A Benchmarking Tool for Label Quality Assessment

Language: Jupyter Notebook - Size: 3.26 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 15 - Forks: 0

dlmacedo/distinction-maximization-loss

A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in your project! Perform efficient inferences (i.e., do not increase inference time) without repetitive model training, hyperparameter tuning, or collecting additional data.

Language: Python - Size: 2.45 MB - Last synced at: 5 months ago - Pushed at: almost 3 years ago - Stars: 45 - Forks: 5

lokender/REGroup

Official implementation of the paper: "REGroup: Rank-aggregating Ensemble of Generative Classifiers for Robust Predictions", IEEE WACV, 2022

Language: Jupyter Notebook - Size: 101 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 5 - Forks: 0

Aggrathon/rslc

Robust Single-Linkage Clustering

Language: Rust - Size: 207 KB - Last synced at: 6 months ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 0

LukeIngram/CS-486-Final-Project

Final Project for CS486 - Robust Machine Learning. PyTorch Implementation of DefenseGAN using the CIFAR-10 Dataset

Language: Jupyter Notebook - Size: 3.91 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

sfme/clsvae-error-repair

Repository for code release of preprint: "Repairing Systematic Outliers by Learning Clean Subspaces in VAEs".

Language: Jupyter Notebook - Size: 132 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

huanzhang12/ATLA_robust_RL

Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework

Language: Python - Size: 43.3 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 43 - Forks: 10

yaodongyu/FastDRO-MinMaxOpt

Fast Distributionally Robust Learning with Variance Reduced Min-Max Optimization

Language: Jupyter Notebook - Size: 29.3 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 3

bbenligiray/rml-cnn

Semi-Supervised Robust Deep Neural Networks for Multi-Label Classification

Language: Python - Size: 134 KB - Last synced at: 2 months ago - Pushed at: over 5 years ago - Stars: 17 - Forks: 2

GoktugOcal/time-series-adversarial-attacks

Investigation of the effects of adversarial attacks and adversarial training on different variants of LSTM and CNN.

Language: Python - Size: 93.8 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

fau-masters-collected-works-cgarbin/machine-learning-but-not-understanding

Are machines "learning" anything? This repository explores some of the concepts from the book "Artificial Intelligence, a guide for thinking humans", by Melanie Mitchell.

Language: Jupyter Notebook - Size: 2.85 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

cpwan/Attack-Adaptive-Aggregation-in-Federated-Learning

This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.

Language: Jupyter Notebook - Size: 82.8 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 34 - Forks: 8

git-disl/FUSE

Robust Object Detection Fusion Against Deception

Language: Python - Size: 256 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

temmyfioye/ClusteringWineDataSet

Applying K-Means and Agglomerative hierarchical clustering to dataset

Language: Jupyter Notebook - Size: 503 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

ZFancy/SFAT

[ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"

Language: Python - Size: 8.01 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 20 - Forks: 3

lancopku/Avg-Avg

[Findings of EMNLP 2022] Holistic Sentence Embeddings for Better Out-of-Distribution Detection

Language: Python - Size: 46.9 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 11 - Forks: 3

TinfoilHat0/Defending-Against-Backdoors-with-Robust-Learning-Rate

The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".

Language: Python - Size: 25.2 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 15 - Forks: 12

dlmacedo/entropic-out-of-distribution-detection

A project to add scalable state-of-the-art out-of-distribution detection (open set recognition) support by changing two lines of code! Perform efficient inferences (i.e., do not increase inference time) and detection without classification accuracy drop, hyperparameter tuning, or collecting additional data.

Language: Python - Size: 7.71 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 51 - Forks: 8

TinfoilHat0/BiFair

Code of ICLR SRML paper titled "Fair Machine Learning under Limited Demographically Labeled Data"

Language: Python - Size: 1.15 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 1

Related Keywords
robust-machine-learning 46 machine-learning 21 deep-learning 17 adversarial-attacks 8 adversarial-machine-learning 8 pytorch 7 federated-learning 6 robustness 6 ood-detection 5 trustworthy-machine-learning 5 trustworthy-ai 5 fairness 4 robust-learning 4 ood 4 deep-neural-networks 4 ai-safety 4 novelty-detection 3 classification 3 open-set 3 data-centric-ai 3 bias-detection 3 computer-vision 3 semi-supervised-learning 3 distribution-shift 3 fairness-ml 3 anomaly-detection 3 uncertainty-estimation 3 noisy-labels 3 adversarial-learning 3 deep-reinforcement-learning 3 data-cleaning 3 adversarial-defense 3 adversarial-robustness 3 out-of-distribution-detection 3 out-of-distribution 3 open-set-recognition 3 machine-learning-algorithms 2 cifar10 2 python 2 nlp 2 outlier-detection 2 noisy-data 2 responsible-ai 2 label-noise 2 robust-reinforcement-learning 2 data-science 2 osr 2 adversarial-examples 2 graph-neural-networks 2 artificial-intelligence 2 neural-network 2 awesome-list 2 concept-shift 2 covariate-shift 2 data-shift 2 fairness-ai 2 randomized-smoothing 2 label-shift 2 algorithmic-transparency 1 algorithmic-fairness 1 byzantine-fault-tolerance 1 explainable-artificial-intelligence 1 privacy-preserving-machine-learning 1 responsible-ml 1 3d 1 3d-point-cloud 1 aaai2024 1 generative-adversarial-network 1 representation-learning 1 self-supervised-learning 1 spatio-temporal-data 1 spatio-temporal-prediction 1 traffic-flow-prediction 1 traffic-forecasting 1 reliable-ai 1 eccv2022 1 entropy-regularizer 1 semi-supervised-classification 1 interpretability 1 interpretable-machine-learning 1 text-classification 1 transfer-learning 1 radiology 1 knn-classifier 1 labelencoding 1 seaborn-python 1 data-repairing 1 generative-model 1 vae 1 reinforcement-learning 1 reinforcement-learning-algorithms 1 loss-functions 1 multi-label-classification 1 forecasting 1 lstm 1 lstm-neural-networks 1 concepts 1 image-classification 1 object-detection 1 agglomerative-clustering 1