Projects in Awesome Lists tagged with robust-machine-learning

A curated list of projects in awesome lists tagged with robust-machine-learning .

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https://github.com/weijiaheng/Advances-in-Label-Noise-Learning

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

conference deep-learning deep-neural-networks international-conference label-noise learning-with-label-noise learning-with-noisy-labels noisy-data noisy-label-learning noisy-labels paper robust-learning robust-machine-learning robustness unreliable-labels weakly-supervised-learning

Last synced: 04 Apr 2025

https://github.com/lishenghui/blades

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

byzantine-fault-tolerance distributed-systems fedavg federated federated-learning federated-learning-framework federated-learning-simulator model-poisoning-attack robust-federated-learning robust-machine-learning robust-optimization

Last synced: 10 Apr 2025

https://github.com/aai-institute/pyDVL

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

banzhaf-index data-centric-ai data-cleaning data-pruning data-quality data-valuation game-theory influence-functions least-core machine-learning robust-machine-learning shapley-value transferlab

Last synced: 11 May 2025

https://github.com/EzgiKorkmaz/adversarial-reinforcement-learning

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

adversarial-machine-learning adversarial-policies adversarial-reinforcement-learning ai-alignment ai-safety artificial-intelligence-alignment deep-reinforcement-learning explainable-machine-learning machine-learning-safety meta-reinforcement-learning multiagent-reinforcement-learning reinforcement-learning-alignment reinforcement-learning-safety responsible-ai robust-deep-reinforcement-learning robust-machine-learning robust-reinforcement-learning safe-reinforcement-learning safe-rlhf

Last synced: 26 Mar 2025

https://github.com/tonyduan/rs4a

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

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

Last synced: 10 Apr 2025

https://github.com/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.

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

Last synced: 10 Oct 2025

https://github.com/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

Last synced: 08 Oct 2025

https://github.com/bbenligiray/rml-cnn

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

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

Last synced: 27 Jun 2025

https://github.com/autonlab/aqua

AQuA: A Benchmarking Tool for Label Quality Assessment

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

Last synced: 16 Jan 2026

https://github.com/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

Last synced: 04 Apr 2025

https://github.com/zjfheart/BadLabels

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

flipping-labels label-noise robust-machine-learning

Last synced: 05 Apr 2025

https://github.com/emaballarin/carso

👀🛡️ Code for the paper “Carefully Blending Adversarial Training and Purification Improves Adversarial Robustness” 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

Last synced: 14 Apr 2025

https://github.com/aggrathon/rslc

Robust Single-Linkage Clustering

clustering data-science hierarchical-clustering machine-learning machine-learning-algorithms python r robust-machine-learning rust single-linkage

Last synced: 11 Apr 2026

https://github.com/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

Last synced: 10 May 2025

https://github.com/noopur-zambare/nc_pruning

Dense network pruning algorithm inspired from Neural Collapse geometry

deep-learning robust-machine-learning statistics trustworthy-ai

Last synced: 08 May 2026