Jacobian Regularization for Mitigating Universal Adversarial Perturbations
Authors: Kenneth T. Co, David Martinez Rego, Emil C. Lupu | Published: 2021-04-21 | Updated: 2021-09-13
Adversarial Example Detection
Rethinking Image-Scaling Attacks: The Interplay Between Vulnerabilities in Machine Learning Systems
Authors: Yue Gao, Ilia Shumailov, Kassem Fawaz | Published: 2021-04-18 | Updated: 2022-06-19
Sparse Coding Frontend for Robust Neural Networks
Authors: Can Bakiskan, Metehan Cekic, Ahmet Dundar Sezer, Upamanyu Madhow | Published: 2021-04-12
Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-Transform Domain
Authors: Jinyu Tian, Jiantao Zhou, Yuanman Li, Jia Duan | Published: 2021-03-07
Identifying Untrustworthy Predictions in Neural Networks by Geometric Gradient Analysis
Authors: Leo Schwinn, An Nguyen, René Raab, Leon Bungert, Daniel Tenbrinck, Dario Zanca, Martin Burger, Bjoern Eskofier | Published: 2021-02-24
Adversarial Robustness with Non-uniform Perturbations
Authors: Ecenaz Erdemir, Jeffrey Bickford, Luca Melis, Sergul Aydore | Published: 2021-02-24 | Updated: 2021-10-29
Adversarially Robust Learning with Unknown Perturbation Sets
Authors: Omar Montasser, Steve Hanneke, Nathan Srebro | Published: 2021-02-03
ATRO: Adversarial Training with a Rejection Option
Authors: Masahiro Kato, Zhenghang Cui, Yoshihiro Fukuhara | Published: 2020-10-24
ATOM: Robustifying Out-of-distribution Detection Using Outlier Mining
Authors: Jiefeng Chen, Yixuan Li, Xi Wu, Yingyu Liang, Somesh Jha | Published: 2020-06-26 | Updated: 2021-06-30
Can We Mitigate Backdoor Attack Using Adversarial Detection Methods?
Authors: Kaidi Jin, Tianwei Zhang, Chao Shen, Yufei Chen, Ming Fan, Chenhao Lin, Ting Liu | Published: 2020-06-26 | Updated: 2022-07-28