Adversarial Distributional Training for Robust Deep Learning
Authors: Yinpeng Dong, Zhijie Deng, Tianyu Pang, Hang Su, Jun Zhu | Published: 2020-02-14 | Updated: 2020-11-19
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets
Authors: Dongxian Wu, Yisen Wang, Shu-Tao Xia, James Bailey, Xingjun Ma | Published: 2020-02-14
Identifying Audio Adversarial Examples via Anomalous Pattern Detection
Authors: Victor Akinwande, Celia Cintas, Skyler Speakman, Srihari Sridharan | Published: 2020-02-13 | Updated: 2020-07-25
CEB Improves Model Robustness
Authors: Ian Fischer, Alexander A. Alemi | Published: 2020-02-13
Over-the-Air Adversarial Flickering Attacks against Video Recognition Networks
Authors: Roi Pony, Itay Naeh, Shie Mannor | Published: 2020-02-12 | Updated: 2021-06-04
Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models
Authors: Xiao Zang, Yi Xie, Jie Chen, Bo Yuan | Published: 2020-02-12 | Updated: 2021-06-23
More Data Can Expand the Generalization Gap Between Adversarially Robust and Standard Models
Authors: Lin Chen, Yifei Min, Mingrui Zhang, Amin Karbasi | Published: 2020-02-11 | Updated: 2020-08-15
Adversarial Robustness for Code
Authors: Pavol Bielik, Martin Vechev | Published: 2020-02-11 | Updated: 2020-08-15
Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial Perturbations
Authors: Florian Tramèr, Jens Behrmann, Nicholas Carlini, Nicolas Papernot, Jörn-Henrik Jacobsen | Published: 2020-02-11 | Updated: 2020-08-04
Robustness of Bayesian Neural Networks to Gradient-Based Attacks
Authors: Ginevra Carbone, Matthew Wicker, Luca Laurenti, Andrea Patane, Luca Bortolussi, Guido Sanguinetti | Published: 2020-02-11 | Updated: 2020-06-24