Defending Against Adversarial Iris Examples Using Wavelet Decomposition
Authors: Sobhan Soleymani, Ali Dabouei, Jeremy Dawson, Nasser M. Nasrabadi | Published: 2019-08-08
堅牢性向上手法
Investigating Decision Boundaries of Trained Neural Networks
Authors: Roozbeh Yousefzadeh, Dianne P O'Leary | Published: 2019-08-07
BlurNet: Defense by Filtering the Feature Maps
Authors: Ravi Raju, Mikko Lipasti | Published: 2019-08-06 | Updated: 2020-05-16
A principled approach for generating adversarial images under non-smooth dissimilarity metrics
Authors: Aram-Alexandre Pooladian, Chris Finlay, Tim Hoheisel, Adam Oberman | Published: 2019-08-05 | Updated: 2019-10-08
Expected Tight Bounds for Robust Training
Authors: Salman Alsubaihi, Adel Bibi, Modar Alfadly, Abdullah Hamdi, Bernard Ghanem | Published: 2019-05-28 | Updated: 2021-06-12
Fall of Empires: Breaking Byzantine-tolerant SGD by Inner Product Manipulation
Authors: Cong Xie, Sanmi Koyejo, Indranil Gupta | Published: 2019-03-10
Semantics Preserving Adversarial Learning
Authors: Ousmane Amadou Dia, Elnaz Barshan, Reza Babanezhad | Published: 2019-03-10 | Updated: 2019-12-21
Complement Objective Training
Authors: Hao-Yun Chen, Pei-Hsin Wang, Chun-Hao Liu, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan | Published: 2019-03-04 | Updated: 2019-03-21
PuVAE: A Variational Autoencoder to Purify Adversarial Examples
Authors: Uiwon Hwang, Jaewoo Park, Hyemi Jang, Sungroh Yoon, Nam Ik Cho | Published: 2019-03-02
Enhancing the Robustness of Deep Neural Networks by Boundary Conditional GAN
Authors: Ke Sun, Zhanxing Zhu, Zhouchen Lin | Published: 2019-02-28