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
文献データベース
Local Competition and Uncertainty for Adversarial Robustness in Deep Learning
Authors: Antonios Alexos, Konstantinos P. Panousis, Sotirios Chatzis | Published: 2020-06-18
OGAN: Disrupting Deepfakes with an Adversarial Attack that Survives Training
Authors: Eran Segalis, Eran Galili | Published: 2020-06-17 | Updated: 2020-11-25
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
On sparse connectivity, adversarial robustness, and a novel model of the artificial neuron
Authors: Sergey Bochkanov | Published: 2020-06-16
Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing
Authors: Sai Praneeth Karimireddy, Lie He, Martin Jaggi | Published: 2020-06-16 | Updated: 2023-11-22
New Interpretations of Normalization Methods in Deep Learning
Authors: Jiacheng Sun, Xiangyong Cao, Hanwen Liang, Weiran Huang, Zewei Chen, Zhenguo Li | Published: 2020-06-16
SPLASH: Learnable Activation Functions for Improving Accuracy and Adversarial Robustness
Authors: Mohammadamin Tavakoli, Forest Agostinelli, Pierre Baldi | 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