Fantastic Robustness Measures: The Secrets of Robust Generalization

Hoki Kim, Jinseong Park, Yujin Choi, Jaewook Lee
2/12/2026

No official code found. Best implementation: Harry24k/MAIR (47 stars, MIT, last commit 2025-01-13).

DOISemantic Scholar

Code Implementations(1)

Harry24k/MAIRCommunity71%
MIT

Fantastic Robustness Measures: The Secrets of Robust Generalization [NeurIPS 2023]

477PythonOct 6, 20231 years agoMIT
adversarial-attacksadversarial-defensesadversarial-robustnessadversarial-training

Similar Papers

Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents

100% match2026

SEAD: Unsupervised Ensemble of Streaming Anomaly Detectors

100% match2026

TRENDy: Temporal Regression of Effective Nonlinear Dynamics

100% match2026

TokenSwift: Lossless Acceleration of Ultra Long Sequence Generation

100% match1 repo1262026

Confidential-DPproof: Confidential Proof of Differentially Private Training

98% match2026

A Simple Model of Inference Scaling Laws

98% match2026

Cite this paper

@article{kim2026fantastic,
  title  = {Fantastic Robustness Measures: The Secrets of Robust Generalization},
  author = {Hoki Kim and Jinseong Park and Yujin Choi and Jaewook Lee},
  year   = {2026},
  doi    = {10.52202/075280-2119},
  url    = {https://doi.org/10.52202/075280-2119},
  journal = {NEURIPS 2023 2023}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2d7d9b84cb6461ac3d1e3a629fe078cd4f2b8440.svg)](https://codeofpaper.com/paper/2d7d9b84cb6461ac3d1e3a629fe078cd4f2b8440)

Discussion