On Data Augmentation and Adversarial Risk: An Empirical Analysis
Authors: Hamid Eghbal-zadeh, Khaled Koutini, Paul Primus, Verena Haunschmid, Michal Lewandowski, Werner Zellinger, Bernhard A. Moser, Gerhard Widmer | Published: 2020-07-06
Adversarial Learning
Adversarial Machine Learning Attacks and Defense Methods in the Cyber Security Domain
Authors: Ihai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach | Published: 2020-07-05 | Updated: 2021-03-13
Relationship between manifold smoothness and adversarial vulnerability in deep learning with local errors
Authors: Zijian Jiang, Jianwen Zhou, Haiping Huang | Published: 2020-07-04 | Updated: 2020-12-23
Smooth Adversarial Training
Authors: Cihang Xie, Mingxing Tan, Boqing Gong, Alan Yuille, Quoc V. Le | Published: 2020-06-25 | Updated: 2021-07-11
Local Convolutions Cause an Implicit Bias towards High Frequency Adversarial Examples
Authors: Josue Ortega Caro, Yilong Ju, Ryan Pyle, Sourav Dey, Wieland Brendel, Fabio Anselmi, Ankit Patel | Published: 2020-06-19 | Updated: 2023-03-08
Systematic Attack Surface Reduction For Deployed Sentiment Analysis Models
Authors: Josh Kalin, David Noever, Gerry Dozier | Published: 2020-06-19
A general framework for defining and optimizing robustness
Authors: Alessandro Tibo, Manfred Jaeger, Kim G. Larsen | Published: 2020-06-19 | Updated: 2021-05-29
Differentiable Language Model Adversarial Attacks on Categorical Sequence Classifiers
Authors: I. Fursov, A. Zaytsev, N. Kluchnikov, A. Kravchenko, E. Burnaev | Published: 2020-06-19
Towards an Adversarially Robust Normalization Approach
Authors: Muhammad Awais, Fahad Shamshad, Sung-Ho Bae | Published: 2020-06-19
REGroup: Rank-aggregating Ensemble of Generative Classifiers for Robust Predictions
Authors: Lokender Tiwari, Anish Madan, Saket Anand, Subhashis Banerjee | Published: 2020-06-18 | Updated: 2021-11-24