Benchmark your model on out-of-distribution datasets with carefully coll...
A curated list of trustworthy deep learning papers. Daily updating...
💡 Adversarial attacks on explanations and how to defend them
auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis L...
Self-Supervised Learning for OOD Detection (NeurIPS 2019)
[NeurIPS 2023] RoboDepth: Robust Out-of-Distribution Depth Estimation un...
Extend python lists operations using .NET's LINQ syntax for clean and fa...
ImageNet-R(endition) and DeepAugment (ICCV 2021)
A preliminary evaluation of ChatGPT/GPT-4 for machine translation.
alpha-beta-CROWN: An Efficient, Scalable and GPU Accelerated Neural Netw...
Repo for "Benchmarking Robustness of 3D Point Cloud Recognition against ...
Code, data and benchmark from the paper "Benchmarking Robustness in Obje...
[NeurIPS 2021]: Are Transformers More Robust Than CNNs? (Pytorch impleme...
Official TensorFlow Implementation of Adversarial Training for Free! whi...
Benchmarking and Analyzing Point Cloud Perception Robustness under Corru...