Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial Attacks
Authors: Thomas Brunner, Frederik Diehl, Michael Truong Le, Alois Knoll | Published: 2018-12-24 | Updated: 2019-05-05
モデルの頑健性保証
Designing Adversarially Resilient Classifiers using Resilient Feature Engineering
Authors: Kevin Eykholt, Atul Prakash | Published: 2018-12-17
Trust Region Based Adversarial Attack on Neural Networks
Authors: Zhewei Yao, Amir Gholami, Peng Xu, Kurt Keutzer, Michael Mahoney | Published: 2018-12-16
Perturbation Analysis of Learning Algorithms: A Unifying Perspective on Generation of Adversarial Examples
Authors: Emilio Rafael Balda, Arash Behboodi, Rudolf Mathar | Published: 2018-12-15
AutoGAN: Robust Classifier Against Adversarial Attacks
Authors: Blerta Lindqvist, Shridatt Sugrim, Rauf Izmailov | Published: 2018-12-08
Deep-RBF Networks Revisited: Robust Classification with Rejection
Authors: Pourya Habib Zadeh, Reshad Hosseini, Suvrit Sra | Published: 2018-12-07
The Limitations of Model Uncertainty in Adversarial Settings
Authors: Kathrin Grosse, David Pfaff, Michael Thomas Smith, Michael Backes | Published: 2018-12-06 | Updated: 2019-11-17
Regularized Ensembles and Transferability in Adversarial Learning
Authors: Yifan Chen, Yevgeniy Vorobeychik | Published: 2018-12-05
Random Spiking and Systematic Evaluation of Defenses Against Adversarial Examples
Authors: Huangyi Ge, Sze Yiu Chau, Bruno Ribeiro, Ninghui Li | Published: 2018-12-05 | Updated: 2020-01-20
FineFool: Fine Object Contour Attack via Attention
Authors: Jinyin Chen, Haibin Zheng, Hui Xiong, Mengmeng Su | Published: 2018-12-01