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
敵対的サンプルの検知
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
Adversarial Feature Desensitization
Authors: Pouya Bashivan, Reza Bayat, Adam Ibrahim, Kartik Ahuja, Mojtaba Faramarzi, Touraj Laleh, Blake Aaron Richards, Irina Rish | Published: 2020-06-08 | Updated: 2022-01-04
Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification
Authors: Sina Däubener, Lea Schönherr, Asja Fischer, Dorothea Kolossa | Published: 2020-05-24 | Updated: 2020-08-02
Detection of Adversarial Attacks and Characterization of Adversarial Subspace
Authors: Mohammad Esmaeilpour, Patrick Cardinal, Alessandro Lameiras Koerich | Published: 2019-10-26
Learning to Disentangle Robust and Vulnerable Features for Adversarial Detection
Authors: Byunggill Joe, Sung Ju Hwang, Insik Shin | Published: 2019-09-10