Local Competition and Uncertainty for Adversarial Robustness in Deep Learning
Authors: Antonios Alexos, Konstantinos P. Panousis, Sotirios Chatzis | Published: 2020-06-18
敵対的学習
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
Adversarial Attacks and Defenses on Graphs: A Review, A Tool and Empirical Studies
Authors: Wei Jin, Yaxin Li, Han Xu, Yiqi Wang, Shuiwang Ji, Charu Aggarwal, Jiliang Tang | Published: 2020-03-02 | Updated: 2020-12-12
Adversarial Perturbations Prevail in the Y-Channel of the YCbCr Color Space
Authors: Camilo Pestana, Naveed Akhtar, Wei Liu, David Glance, Ajmal Mian | Published: 2020-02-25