On the Adversarial Robustness of Out-of-distribution Generalization Models
Xin Zou, Weiwei Liu
2/12/2026
No official code found. Best implementation: ZouXinn/OOD-Adv (7 stars, MIT, last commit 2023-09-26).
No official code found. Best implementation: ZouXinn/OOD-Adv (7 stars, MIT, last commit 2023-09-26).
Ensemble Pruning for Out-of-distribution Generalization
Improving Out-of-distribution Generalization with Indirection Representations
Learning Unforeseen Robustness from Out-of-distribution Data Using Equivariant Domain Translator
Detecting Out-of-distribution Data through In-distribution Class Prior
Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is All You Need
Dual Energy-Based Model with Open-World Uncertainty Estimation for Out-of-distribution Detection
@article{zou2026adversarial,
title = {On the Adversarial Robustness of Out-of-distribution Generalization Models},
author = {Xin Zou and Weiwei Liu},
year = {2026},
doi = {10.52202/075280-3016},
url = {https://doi.org/10.52202/075280-3016},
journal = {NEURIPS 2023 2023}
}Shows whether official code is linked for this paper.
[](https://codeofpaper.com/paper/45ac06b4ca0514a976f49cf38bd444b8c94b9e00)