robust-machine-learning

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.

machine-learning deep-learning pytorch ood osr ai-safety open-set anomaly-detection novelty-detection robust-machine-learning open-set-recognition out-of-distribution out-of-distribution-detection ood-detection trustworthy-machine-learning trustworthy-ai

UpdatedSep 22, 2022
Python

huanzhang12 /ATLA_robust_RL

Star63

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

reinforcement-learning deep-reinforcement-learning reinforcement-learning-algorithms adversarial-examples robust-machine-learning robust-reinforcement-learning

UpdatedJan 26, 2021
Python

tonyduan /rs4a

Star52

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

machine-learning adversarial-examples robust-machine-learning randomized-smoothing

UpdatedJul 23, 2020
Jupyter Notebook

dlmacedo /distinction-maximization-loss

Star45

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.

machine-learning deep-learning pytorch classification ood osr uncertainty-estimation ai-safety open-set anomaly-detection novelty-detection robust-machine-learning open-set-recognition out-of-distribution out-of-distribution-detection ood-detection trustworthy-machine-learning trustworthy-ai

UpdatedSep 22, 2022
Python

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

Star44

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

machine-learning adversarial-attacks federated-learning robust-machine-learning

UpdatedJun 12, 2023
Jupyter Notebook

ZFancy /SFAT

Star32

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

adversarial-learning federated-learning robust-machine-learning federated-adversarial-learning data-heterogeneity

UpdatedJun 7, 2023
Python

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

Star31

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

machine-learning deep-learning pytorch distributed-machine-learning adversarial-attacks federated-learning robust-machine-learning backdoor-attacks

UpdatedOct 3, 2022
Python

monk1337 /Awesome-Robust-Machine-Learning

Star29

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

machine-learning deep-learning healthcare awesome-list ood fairness covariate-shift federated-learning machine-learning-bias fairness-testing bias-detection robust-machine-learning fairness-ai concept-shift fairness-ml robust-learning label-shift data-shift distribution-shift healthcare-federated-learning

UpdatedOct 13, 2022

autonlab /aqua

Star20

AQuA: A Benchmarking Tool for Label Quality Assessment

data-science machine-learning data-cleaning robust-machine-learning label-errors data-centric-ai

UpdatedOct 17, 2023
Jupyter Notebook

lancopku /Avg-Avg

Star18

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

natural-language-processing ai-safety robust-machine-learning ood-detection trustworthy-machine-learning

UpdatedJun 14, 2023
Python

suinleelab /cxr_adv

Star18

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

machine-learning radiology adversarial-machine-learning robust-machine-learning

UpdatedJan 14, 2020
Python

bbenligiray /rml-cnn

Star17

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

semi-supervised-learning multi-label-classification loss-functions robust-machine-learning

UpdatedDec 30, 2019
Python

dlmacedo /robust-deep-learning

Star17

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.

machine-learning deep-neural-networks deep-learning pytorch classification uncertainty-neural-networks uncertainty-estimation open-set anomaly-detection novelty-detection robust-machine-learning open-set-recognition out-of-distribution out-of-distribution-detection ood-detection trustworthy-machine-learning uncertainty-calibration trustworthy-ai robust-deep-learning

UpdatedNov 26, 2022
Python

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robust-machine-learning

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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

yanliang3612 /awesome-imbalanced-learning-on-graphs

dlmacedo /entropic-out-of-distribution-detection