Rearchitecting Classification Frameworks For Increased Robustness
Authors: Varun Chandrasekaran, Brian Tang, Nicolas Papernot, Kassem Fawaz, Somesh Jha, Xi Wu | Published: 2019-05-26 | Updated: 2019-12-03
Robustness Improvement
Robustness of Generalized Learning Vector Quantization Models against Adversarial Attacks
Authors: Sascha Saralajew, Lars Holdijk, Maike Rees, Thomas Villmann | Published: 2019-02-01 | Updated: 2019-03-09
Robustness Certificates Against Adversarial Examples for ReLU Networks
Authors: Sahil Singla, Soheil Feizi | Published: 2019-02-01 | Updated: 2019-02-05
Natural and Adversarial Error Detection using Invariance to Image Transformations
Authors: Yuval Bahat, Michal Irani, Gregory Shakhnarovich | Published: 2019-02-01
Training Artificial Neural Networks by Generalized Likelihood Ratio Method: Exploring Brain-like Learning to Improve Robustness
Authors: Li Xiao, Yijie Peng, Jeff Hong, Zewu Ke, Shuhuai Yang | Published: 2019-01-31 | Updated: 2019-07-11
Adversarial Machine Learning And Speech Emotion Recognition: Utilizing Generative Adversarial Networks For Robustness
Authors: Siddique Latif, Rajib Rana, Junaid Qadir | Published: 2018-11-28 | Updated: 2018-12-30
Robust Classification of Financial Risk
Authors: Suproteem K. Sarkar, Kojin Oshiba, Daniel Giebisch, Yaron Singer | Published: 2018-11-27
Compressible and Learnable Encryption for Untrusted Cloud Environments
Authors: Hitoshi Kiya | Published: 2018-11-26
Lightweight Lipschitz Margin Training for Certified Defense against Adversarial Examples
Authors: Hajime Ono, Tsubasa Takahashi, Kazuya Kakizaki | Published: 2018-11-20
Adversarial Examples from Cryptographic Pseudo-Random Generators
Authors: Sébastien Bubeck, Yin Tat Lee, Eric Price, Ilya Razenshteyn | Published: 2018-11-15