Learning to Disentangle Robust and Vulnerable Features for Adversarial Detection
Authors: Byunggill Joe, Sung Ju Hwang, Insik Shin | Published: 2019-09-10
Adversarial Training
BOSH: An Efficient Meta Algorithm for Decision-based Attacks
Authors: Zhenxin Xiao, Puyudi Yang, Yuchen Jiang, Kai-Wei Chang, Cho-Jui Hsieh | Published: 2019-09-10 | Updated: 2019-10-14
Adversarial Robustness Against the Union of Multiple Perturbation Models
Authors: Pratyush Maini, Eric Wong, J. Zico Kolter | Published: 2019-09-09 | Updated: 2020-07-28
Blackbox Attacks on Reinforcement Learning Agents Using Approximated Temporal Information
Authors: Yiren Zhao, Ilia Shumailov, Han Cui, Xitong Gao, Robert Mullins, Ross Anderson | Published: 2019-09-06 | Updated: 2019-11-21
Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents
Authors: Xian Yeow Lee, Sambit Ghadai, Kai Liang Tan, Chinmay Hegde, Soumik Sarkar | Published: 2019-09-05 | Updated: 2019-11-19
Optimal Attacks on Reinforcement Learning Policies
Authors: Alessio Russo, Alexandre Proutiere | Published: 2019-07-31
Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation
Authors: Utku Ozbulak, Arnout Van Messem, Wesley De Neve | Published: 2019-07-30
Are Odds Really Odd? Bypassing Statistical Detection of Adversarial Examples
Authors: Hossein Hosseini, Sreeram Kannan, Radha Poovendran | Published: 2019-07-28
A cryptographic approach to black box adversarial machine learning
Authors: Kevin Shi, Daniel Hsu, Allison Bishop | Published: 2019-06-07 | Updated: 2020-02-21
Adversarial Explanations for Understanding Image Classification Decisions and Improved Neural Network Robustness
Authors: Walt Woods, Jack Chen, Christof Teuscher | Published: 2019-06-07 | Updated: 2019-08-06