Curriculum Adversarial Training
Authors: Qi-Zhi Cai, Min Du, Chang Liu, Dawn Song | Published: 2018-05-13
敵対的学習
Gradient Masking Causes CLEVER to Overestimate Adversarial Perturbation Size
Authors: Ian Goodfellow | Published: 2018-04-21
Learning More Robust Features with Adversarial Training
Authors: Shuangtao Li, Yuanke Chen, Yanlin Peng, Lin Bai | Published: 2018-04-20
Adversarial Attacks Against Medical Deep Learning Systems
Authors: Samuel G. Finlayson, Hyung Won Chung, Isaac S. Kohane, Andrew L. Beam | Published: 2018-04-15 | Updated: 2019-02-04
Adversarial Training Versus Weight Decay
Authors: Angus Galloway, Thomas Tanay, Graham W. Taylor | Published: 2018-04-10 | Updated: 2018-07-23
Bypassing Feature Squeezing by Increasing Adversary Strength
Authors: Yash Sharma, Pin-Yu Chen | Published: 2018-03-27
A Dynamic-Adversarial Mining Approach to the Security of Machine Learning
Authors: Tegjyot Singh Sethi, Mehmed Kantardzic, Lingyu Lyua, Jiashun Chen | Published: 2018-03-24
Improving DNN Robustness to Adversarial Attacks using Jacobian Regularization
Authors: Daniel Jakubovitz, Raja Giryes | Published: 2018-03-23 | Updated: 2019-05-28
Adversarial Defense based on Structure-to-Signal Autoencoders
Authors: Joachim Folz, Sebastian Palacio, Joern Hees, Damian Borth, Andreas Dengel | Published: 2018-03-21
Technical Report: When Does Machine Learning FAIL? Generalized Transferability for Evasion and Poisoning Attacks
Authors: Octavian Suciu, Radu Mărginean, Yiğitcan Kaya, Hal Daumé III, Tudor Dumitraş | Published: 2018-03-19 | Updated: 2019-03-08