robustness

Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, books, videos, articles and open-source libraries etc

awesome open-world outlier-detection anomaly open-set awesome-lists robustness anomaly-detection novelty-detection open-set-recognition out-of-distribution out-of-distribution-detection ood-detection ood-generalization out-of-distribution-generalization open-world-learning ood-robustness distribution-shifts out-of-distribution-robustness

UpdatedNov 5, 2025

utiasDSL /safe-control-gym

Star841

PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL

control reinforcement-learning quadcopter robotics symbolic gym cartpole safety quadrotor robustness pybullet casadi

UpdatedNov 6, 2025
Python

jxzhangjhu /Awesome-LLM-Uncertainty-Reliability-Robustness

Star812

Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models

reliability calibration safety awesome-list uncertainty-quantification uncertainty-estimation robustness hallucination gpt-3 gpt-4 in-context-learning large-language-models prompt-engineering prompting llms chain-of-thought chatgpt

UpdatedMay 21, 2025

weijiaheng /Advances-in-Label-Noise-Learning

Star719

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

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

UpdatedOct 18, 2024

EnnengYang /Awesome-Model-Merging-Methods-Theories-Applications

Star673

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. ACM Computing Surveys, 2026.

generative-model ensemble-learning transfer-learning zero-shot-learning robustness multi-task-learning attack-defense generalization meta-learning model-fusion federated-learning continual-learning few-shot-learning diffusion-models multi-domain-learning foundation-models large-language-models llms model-merging knowledge-fusion

UpdatedFeb 18, 2026

MadryLab /photoguard

Star655

Raising the Cost of Malicious AI-Powered Image Editing

computer-vision deep-learning robustness adversarial-examples adversarial-attacks deepfakes stable-diffusion

UpdatedFeb 27, 2023
Jupyter Notebook

hendrycks /natural-adv-examples

Star618

A Harder ImageNet Test Set (CVPR 2021)

imagenet robustness adversarial-example adversarial-attacks domain-generalization ml-safety

UpdatedMar 23, 2024
Python

pterhoer /FaceImageQuality

Star577

Code and information for face image quality assessment with SER-FIQ

quality machine-learning computer-vision face biometrics face-recognition quality-estimation quality-metrics robustness quality-measures

UpdatedDec 9, 2022
Python

YuejiangLIU /awesome-source-free-test-time-adaptation

Star533

Test-time Adaptation, Test-time Training and Source-free Domain Adaptation

awesome-list robustness domain-adaptation test-time-adaptation

UpdatedJun 23, 2024

jqtangust /Robust-R1

Star528

🔥🔥🔥[AAAI 2026 Oral] Official Implementation of Robust-R1: Degradation-Aware Reasoning for Robust Visual Understanding

multi-modal reasoning robustness trustworthy-ai large-language-models multimodel-large-language-model

UpdatedJan 20, 2026
Python

diffusion-classifier /diffusion-classifier

Star486

Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training

machine-learning computer-vision deep-learning monte-carlo supervised-learning classification generative diffusion zero-shot-learning robustness generative-models bayes-theorem elbo diffusion-models zero-shot-classification

UpdatedFeb 28, 2024
Python

ChandlerBang /awesome-graph-attack-papers

Star393

Adversarial attacks and defenses on Graph Neural Networks.

machine-learning awesome deep-learning graph awesome-list defense robustness literature-review adversarial-examples adversarial-attacks graph-neural-networks

UpdatedFeb 22, 2024

MinghuiChen43 /awesome-trustworthy-deep-learning

Star381

A curated list of trustworthy deep learning papers. Daily updating...

security privacy deep-learning backdoor uncertainty ownership causality fairness watermarking poisoning robustness adversarial-machine-learning machine-unlearning interpretable-deep-learning ai-alignment green-ai membership-inference-attack hallucinations gradient-leakage out-of-distribution-generalization

UpdatedFeb 20, 2026

bethgelab /model-vs-human

Star359

Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)

benchmark tensorflow pytorch toolbox robustness

UpdatedApr 17, 2025
Python

Verified-Intelligence /alpha-beta-CROWN

Star347

alpha-beta-CROWN: An Efficient, Scalable and GPU Accelerated Neural Network Verifier (winner of VNN-COMP 2021, 2022, 2023, 2024, 2025)

neural-networks formal-verification robustness adversarial-examples adversarial-robustness robustness-verification neural-network-verification

UpdatedJan 17, 2026
Python

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