robust-machine-learning

There are 4 repositories under robust-machine-learning topic.

awesome-open-data-centric-ai
Renumics / awesome-open-data-centric-ai
Curated list of open source tooling for data-centric AI on unstructured data.
awesome-list data-centric-ai data-curation data-versioning data-visualization explainable-ai active-learning feature-vector robust-machine-learning bias-detection computer-vision data-drift deep-learning nlp noisy-labels outlier-detection synthetic-data uncertainty-estimation machine-learning
679
weijiaheng / Advances-in-Label-Noise-Learning
A curated (most recent) list of resources for Learning with Noisy Labels
noisy-labels robustness label-noise noisy-label-learning deep-neural-networks weakly-supervised-learning robust-learning learning-with-noisy-labels deep-learning international-conference paper conference noisy-data unreliable-labels robust-machine-learning learning-with-label-noise
620
Echo-Ji / ST-SSL
ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction
self-supervised-learning traffic-flow-prediction traffic-forecasting spatio-temporal-prediction aaai adaptive contrastive-learning data-augmentation data-mining fairness graph-augmentation graph-neural-networks location-embedding representation-learning robust-machine-learning robustness spatio-temporal-data
Language:Python 124
blades
lishenghui / blades
Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning
byzantine-fault-tolerance distributed-systems federated-learning robust-machine-learning fedavg federated federated-learning-simulator robust-optimization model-poisoning-attack robust-federated-learning federated-learning-framework
Language:Python 121
aai-institute / pyDVL
pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation
data-valuation shapley-value machine-learning transferlab least-core influence-functions game-theory data-quality robust-machine-learning data-centric-ai banzhaf-index data-cleaning data-pruning
Language:Python 82
EzgiKorkmaz / adversarial-reinforcement-learning
Reading list for adversarial perspective and robustness in deep reinforcement learning.
adversarial-attacks robust-machine-learning deep-reinforcement-learning adversarial-reinforcement-learning robust-reinforcement-learning ai-safety machine-learning-safety reinforcement-learning-safety safe-reinforcement-learning adversarial-policies explainable-rl robust-adversarial-reinforcement-learning reinforcement-learning-generalization multiagent-reinforcement-learning ai-alignment adversarial-machine-learning explainable-machine-learning responsible-ai meta-reinforcement-learning safe-rlhf
76
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.
pytorch deep-learning out-of-distribution-detection out-of-distribution machine-learning trustworthy-ai ai-safety anomaly-detection novelty-detection robust-machine-learning trustworthy-machine-learning ood ood-detection osr open-set-recognition open-set
Language:Python 75
yanliang3612 / awesome-imbalanced-learning-on-graphs
A repository contains a collection of resources and papers on Imbalance Learning On Graphs
graph-neural-networks imbalanced-learning robust-machine-learning
72
huanzhang12 / ATLA_robust_RL
Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework
adversarial-examples deep-reinforcement-learning reinforcement-learning reinforcement-learning-algorithms robust-machine-learning robust-reinforcement-learning
Language:Python 56
tonyduan / rs4a
Randomized Smoothing of All Shapes and Sizes (ICML 2020).
machine-learning robust-machine-learning randomized-smoothing adversarial-examples
Language:Jupyter Notebook 50
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.
classification deep-learning machine-learning open-set-recognition out-of-distribution-detection pytorch robust-machine-learning trustworthy-ai trustworthy-machine-learning uncertainty-estimation ai-safety anomaly-detection novelty-detection ood ood-detection open-set osr out-of-distribution
Language:Python 45
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.
adversarial-attacks machine-learning federated-learning robust-machine-learning
Language:Jupyter Notebook 39
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".
adversarial-attacks backdoor-attacks deep-learning distributed-machine-learning federated-learning machine-learning pytorch robust-machine-learning
Language:Python 28
ZFancy / SFAT
[ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"
adversarial-learning data-heterogeneity federated-adversarial-learning federated-learning robust-machine-learning
Language:Python 27
autonlab / aqua
AQuA: A Benchmarking Tool for Label Quality Assessment
data-centric-ai data-cleaning data-science label-errors machine-learning robust-machine-learning
Language:Jupyter Notebook 18
monk1337 / Awesome-Robust-Machine-Learning
A curated list of Robust Machine Learning papers/articles and recent advancements.
bias-detection concept-shift covariate-shift data-shift deep-learning distribution-shift fairness fairness-ml label-shift machine-learning ood robust-machine-learning awesome-list fairness-ai fairness-testing machine-learning-bias robust-learning federated-learning healthcare healthcare-federated-learning
18
suinleelab / cxr_adv
Repository for the paper "An Adversarial Approach for the Robust Classification of Pneumonia from Chest Radiographs"
adversarial-machine-learning machine-learning radiology robust-machine-learning
Language:Python 18
bbenligiray / rml-cnn
Semi-Supervised Robust Deep Neural Networks for Multi-Label Classification
multi-label-classification robust-machine-learning semi-supervised-learning loss-functions
Language:Python 17
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.
anomaly-detection classification deep-learning deep-neural-networks machine-learning novelty-detection ood-detection open-set open-set-recognition out-of-distribution out-of-distribution-detection pytorch robust-deep-learning robust-machine-learning trustworthy-ai trustworthy-machine-learning uncertainty-calibration uncertainty-estimation uncertainty-neural-networks
Language:Python 16
lancopku / Avg-Avg
[Findings of EMNLP 2022] Holistic Sentence Embeddings for Better Out-of-Distribution Detection
ai-safety natural-language-processing ood-detection robust-machine-learning trustworthy-machine-learning
Language:Python 16
Shihab-Shahriar / scikit-clean
A collection of algorithms for detecting and handling label noise
machine-learning robust-machine-learning weak-supervision noise-detection noisy-labels noisy-data data-cleaning
Language:Python 14
NJUyued / RDA4RobustSSL
"RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning" by Yue Duan (ECCV 2022)
deep-learning distribution-shift eccv2022 entropy-regularizer machine-learning pytorch robust-learning robust-machine-learning semi-supervised-classification semi-supervised-learning
Language:Python 9
Bai-YT / AdaptiveSmoothing
Implementation of the paper "Improving the Accuracy-Robustness Trade-off of Classifiers via Adaptive Smoothing".
adversarial-attacks adversarial-defense adversarial-machine-learning adversarial-robustness robust-machine-learning
Language:Jupyter Notebook 8
shinke-li / pointcvar
The official implementation code of Paper "PointCVaR: Risk-optimized Outlier Removal for Robust 3D Point Cloud Classification" in AAAI 2024 (Oral)
3d 3d-point-cloud adversarial-attacks attack-defense deep-learning outlier-removal point-cloud pointnet pytorch robust-machine-learning robustness aaai2024
Language:Python 7
REGroup
lokender / REGroup
Official implementation of the paper: "REGroup: Rank-aggregating Ensemble of Generative Classifiers for Robust Predictions", IEEE WACV, 2022
regroup robust classification machine-learning vgg19 ensemble robust-predictions adversarial-attacks adversarial pgd cifar10 robust-statistics robust-machine-learning robust-estimation benign borda-count adversarial-machine-learning resnet deepfool
Language:Jupyter Notebook 6
monk1337 / Awesome-Distribution-Shift
A curated list of Distribution Shift papers/articles and recent advancements.
bias-detection data data-shift distribution-shift fairness fairness-ml machine-learning machine-learning-algorithms ood ood-detection robust-machine-learning concept-shift covariate-shift label-shift
6
Bai-YT / MixedNUTS
MixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly Mixed Classifiers
adversarial-learning adversarial-robustness robust-machine-learning
Language:Python 3
emaballarin / CARSO
👀🛡️ Code for the paper “CARSO: Counter-Adversarial Recall of Synthetic Observations” by Emanuele Ballarin, Alessio Ansuini and Luca Bortolussi (2024)
adversarial-defense adversarial-machine-learning adversarial-robustness artificial-intelligence artificial-neural-networks cognitive-computing deep-learning deep-neural-networks machine-learning neural-network neural-networks neural-representation neural-representations neuro-inspired robust-machine-learning robustness variational-autoencoder variational-method
Language:Python 3
TinfoilHat0 / BiFair
Code of ICLR SRML paper titled "Fair Machine Learning under Limited Demographically Labeled Data"
fairness machine-learning robust-machine-learning
Language:Python 3
yaodongyu / FastDRO-MinMaxOpt
Fast Distributionally Robust Learning with Variance Reduced Min-Max Optimization
robust-machine-learning
Language:Jupyter Notebook 3
zjfheart / BadLabels
Challenging label noise called BadLabel; Robust label-noise learning called Robust DivideMix
flipping-labels label-noise robust-machine-learning
Language:Python 3
Aggrathon / rslc
Robust Single-Linkage Clustering
clustering single-linkage hierarchical-clustering robust-machine-learning rust python r machine-learning machine-learning-algorithms data-science
Language:Rust 2
GoktugOcal / time-series-adversarial-attacks
Investigation of the effects of adversarial attacks and adversarial training on different variants of LSTM and CNN.
adversarial-attacks adversarial-learning adversarial-machine-learning deep-learning forecasting lstm lstm-neural-networks machine-learning robust-machine-learning robustness
Language:Python 2
mahossam / Explain2Attack
Implementation of the paper: Explain2Attack: Text Adversarial Attacks via Cross-Domain Interpretability (ICPR 2020)
text-classification adversarial-attacks robust-machine-learning nlp interpretability interpretable-machine-learning transfer-learning
Language:Python 2
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
computer-vision deep-learning deep-neural-networks reliable-ai robust-machine-learning
Language:Python 1
git-disl / FUSE
Robust Object Detection Fusion Against Deception
adversarial-machine-learning object-detection robust-machine-learning adversarial-defense
Language:Python 1

robust-machine-learning

Renumics / awesome-open-data-centric-ai

weijiaheng / Advances-in-Label-Noise-Learning

Echo-Ji / ST-SSL

lishenghui / blades

aai-institute / pyDVL

EzgiKorkmaz / adversarial-reinforcement-learning

dlmacedo / entropic-out-of-distribution-detection

yanliang3612 / awesome-imbalanced-learning-on-graphs

huanzhang12 / ATLA_robust_RL

tonyduan / rs4a

dlmacedo / distinction-maximization-loss

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

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

ZFancy / SFAT

autonlab / aqua

monk1337 / Awesome-Robust-Machine-Learning

suinleelab / cxr_adv

bbenligiray / rml-cnn

dlmacedo / robust-deep-learning

lancopku / Avg-Avg

Shihab-Shahriar / scikit-clean

NJUyued / RDA4RobustSSL

Bai-YT / AdaptiveSmoothing

shinke-li / pointcvar

lokender / REGroup

monk1337 / Awesome-Distribution-Shift

Bai-YT / MixedNUTS

emaballarin / CARSO

TinfoilHat0 / BiFair

yaodongyu / FastDRO-MinMaxOpt

zjfheart / BadLabels

Aggrathon / rslc

GoktugOcal / time-series-adversarial-attacks

mahossam / Explain2Attack

angelognazzo / Reliable-Trustworthy-AI

git-disl / FUSE