Sitatapatra: Blocking the Transfer of Adversarial Samples
Authors: Ilia Shumailov, Xitong Gao, Yiren Zhao, Robert Mullins, Ross Anderson, Cheng-Zhong Xu | Published: 2019-01-23 | Updated: 2019-11-21
敵対的サンプル
Universal Rules for Fooling Deep Neural Networks based Text Classification
Authors: Di Li, Danilo Vasconcellos Vargas, Sakurai Kouichi | Published: 2019-01-22 | Updated: 2019-04-03
Adversarial Attack and Defense on Graph Data: A Survey
Authors: Lichao Sun, Yingtong Dou, Carl Yang, Ji Wang, Yixin Liu, Philip S. Yu, Lifang He, Bo Li | Published: 2018-12-26 | Updated: 2022-10-06
Deep-RBF Networks Revisited: Robust Classification with Rejection
Authors: Pourya Habib Zadeh, Reshad Hosseini, Suvrit Sra | Published: 2018-12-07
Adversarial Attacks, Regression, and Numerical Stability Regularization
Authors: Andre T. Nguyen, Edward Raff | 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
On Configurable Defense against Adversarial Example Attacks
Authors: Bo Luo, Min Li, Yu Li, Qiang Xu | Published: 2018-12-06
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
Discrete Adversarial Attacks and Submodular Optimization with Applications to Text Classification
Authors: Qi Lei, Lingfei Wu, Pin-Yu Chen, Alexandros G. Dimakis, Inderjit S. Dhillon, Michael Witbrock | Published: 2018-12-01 | Updated: 2019-04-04
An Adversarial Approach for Explainable AI in Intrusion Detection Systems
Authors: Daniel L. Marino, Chathurika S. Wickramasinghe, Milos Manic | Published: 2018-11-28