A unified evaluation framework for large language models

A Toolbox for Adversarial Robustness Research

关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记

Corruption and Perturbation Robustness (ICLR 2019)

Benchmarking Generalized Out-of-Distribution Detection

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

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

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

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

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

Raising the Cost of Malicious AI-Powered Image Editing

A Harder ImageNet Test Set (CVPR 2021)

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

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

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

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

Adversarial attacks and defenses on Graph Neural Networks.

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

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

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

auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks and General Computational Graphs

EasyRobust: an Easy-to-use library for state-of-the-art Robust Computer Vision Research with PyTorch.

💡 Adversarial attacks on explanations and how to defend them

Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

[NeurIPS 2023] RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions

ImageNet-R(endition) and DeepAugment (ICCV 2021)

A repository and benchmark for online test-time adaptation.

Self-Supervised Learning for OOD Detection (NeurIPS 2019)

A new test set for ImageNet

Extend python lists operations using .NET's LINQ syntax for clean and fast coding.