Co-occurring keywords · papers mentioning both
Papers
Adversarial Examples Are Not Real Features
NeurIPS 2023
Closer Look at the Transferability of Adversarial Examples: How They Fool Different Models Differently
WACV 2023
ImageNet Pre-training Also Transfers Non-robustness
AAAI 2023
Can Adversarial Training Be Manipulated By Non-Robust Features?
NeurIPS 2022
Improving the Adversarial Robustness of NLP Models by Information Bottleneck
ACL 2022
Batch Normalization Increases Adversarial Vulnerability and Decreases Adversarial Transferability: A Non-Robust Feature Perspective
ICCV 2021
Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck
NeurIPS 2021
Adversarial Examples Are Not Bugs, They Are Features
NeurIPS 2019