Adversarial Training and Robustness for Multiple Perturbations
Authors: Florian Tramèr, Dan Boneh | Published: 2019-04-30 | Updated: 2019-10-18
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Adversarial Training for Free!
Authors: Ali Shafahi, Mahyar Najibi, Amin Ghiasi, Zheng Xu, John Dickerson, Christoph Studer, Larry S. Davis, Gavin Taylor, Tom Goldstein | Published: 2019-04-29 | Updated: 2019-11-20
A Robust Approach for Securing Audio Classification Against Adversarial Attacks
Authors: Mohammad Esmaeilpour, Patrick Cardinal, Alessandro Lameiras Koerich | Published: 2019-04-24 | Updated: 2019-11-25
ZK-GanDef: A GAN based Zero Knowledge Adversarial Training Defense for Neural Networks
Authors: Guanxiong Liu, Issa Khalil, Abdallah Khreishah | Published: 2019-04-17
Malware Evasion Attack and Defense
Authors: Yonghong Huang, Utkarsh Verma, Celeste Fralick, Gabriel Infante-Lopez, Brajesh Kumarz, Carl Woodward | Published: 2019-04-07 | Updated: 2019-04-16
HopSkipJumpAttack: A Query-Efficient Decision-Based Attack
Authors: Jianbo Chen, Michael I. Jordan, Martin J. Wainwright | Published: 2019-04-03 | Updated: 2020-04-28
Generating Adversarial Examples With Conditional Generative Adversarial Net
Authors: Ping Yu, Kaitao Song, Jianfeng Lu | Published: 2019-03-18
Adversarial Attacks on Deep Neural Networks for Time Series Classification
Authors: Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller | Published: 2019-03-17 | Updated: 2019-04-26
Adversarial Examples on Graph Data: Deep Insights into Attack and Defense
Authors: Huijun Wu, Chen Wang, Yuriy Tyshetskiy, Andrew Docherty, Kai Lu, Liming Zhu | Published: 2019-03-05 | Updated: 2019-05-22
Adversarial Attacks on Time Series
Authors: Fazle Karim, Somshubra Majumdar, Houshang Darabi | Published: 2019-02-27 | Updated: 2019-03-01