Towards an Adversarially Robust Normalization Approach
Authors: Muhammad Awais, Fahad Shamshad, Sung-Ho Bae | Published: 2020-06-19
敵対的学習
REGroup: Rank-aggregating Ensemble of Generative Classifiers for Robust Predictions
Authors: Lokender Tiwari, Anish Madan, Saket Anand, Subhashis Banerjee | Published: 2020-06-18 | Updated: 2021-11-24
Local Competition and Uncertainty for Adversarial Robustness in Deep Learning
Authors: Antonios Alexos, Konstantinos P. Panousis, Sotirios Chatzis | Published: 2020-06-18
Classifier-independent Lower-Bounds for Adversarial Robustness
Authors: Elvis Dohmatob | Published: 2020-06-17 | Updated: 2020-11-10
AdvMind: Inferring Adversary Intent of Black-Box Attacks
Authors: Ren Pang, Xinyang Zhang, Shouling Ji, Xiapu Luo, Ting Wang | Published: 2020-06-16
DefenseVGAE: Defending against Adversarial Attacks on Graph Data via a Variational Graph Autoencoder
Authors: Ao Zhang, Jinwen Ma | Published: 2020-06-16
Improving Adversarial Robustness via Unlabeled Out-of-Domain Data
Authors: Zhun Deng, Linjun Zhang, Amirata Ghorbani, James Zou | Published: 2020-06-15 | Updated: 2021-02-21
Weight Poisoning Attacks on Pre-trained Models
Authors: Keita Kurita, Paul Michel, Graham Neubig | Published: 2020-04-14
Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions
Authors: Jon Vadillo, Roberto Santana, Jose A. Lozano | Published: 2020-04-14 | Updated: 2023-01-25
Blind Adversarial Training: Balance Accuracy and Robustness
Authors: Haidong Xie, Xueshuang Xiang, Naijin Liu, Bin Dong | Published: 2020-04-10