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
堅牢性向上手法
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
Tensor Dropout for Robust Learning
Authors: Arinbjörn Kolbeinsson, Jean Kossaifi, Yannis Panagakis, Adrian Bulat, Anima Anandkumar, Ioanna Tzoulaki, Paul Matthews | Published: 2019-02-27 | Updated: 2020-12-11
Distributed Byzantine Tolerant Stochastic Gradient Descent in the Era of Big Data
Authors: Richeng Jin, Xiaofan He, Huaiyu Dai | Published: 2019-02-27 | Updated: 2019-03-06
Disentangled Deep Autoencoding Regularization for Robust Image Classification
Authors: Zhenyu Duan, Martin Renqiang Min, Li Erran Li, Mingbo Cai, Yi Xu, Bingbing Ni | Published: 2019-02-27