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

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

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

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

A Harder ImageNet Test Set (CVPR 2021)

Raising the Cost of Malicious AI-Powered Image Editing

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

A curated list of papers in Test-time Adaptation, Test-time Training and Source-free Domain Adaptation

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)

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

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

💡 Adversarial attacks on explanations and how to defend them