Trust Region Based Adversarial Attack on Neural Networks
Authors: Zhewei Yao, Amir Gholami, Peng Xu, Kurt Keutzer, Michael Mahoney | Published: 2018-12-16
敵対的学習
Prior Networks for Detection of Adversarial Attacks
Authors: Andrey Malinin, Mark Gales | Published: 2018-12-06
On Configurable Defense against Adversarial Example Attacks
Authors: Bo Luo, Min Li, Yu Li, Qiang Xu | Published: 2018-12-06
Model-Reuse Attacks on Deep Learning Systems
Authors: Yujie Ji, Xinyang Zhang, Shouling Ji, Xiapu Luo, Ting Wang | Published: 2018-12-02
Robust Classification of Financial Risk
Authors: Suproteem K. Sarkar, Kojin Oshiba, Daniel Giebisch, Yaron Singer | Published: 2018-11-27
Convolutional Neural Networks with Transformed Input based on Robust Tensor Network Decomposition
Authors: Jenn-Bing Ong, Wee-Keong Ng, C. -C. Jay Kuo | Published: 2018-11-20 | Updated: 2018-12-11
Lightweight Lipschitz Margin Training for Certified Defense against Adversarial Examples
Authors: Hajime Ono, Tsubasa Takahashi, Kazuya Kakizaki | Published: 2018-11-20
AdVersarial: Perceptual Ad Blocking meets Adversarial Machine Learning
Authors: Florian Tramèr, Pascal Dupré, Gili Rusak, Giancarlo Pellegrino, Dan Boneh | Published: 2018-11-08 | Updated: 2019-08-26
MixTrain: Scalable Training of Verifiably Robust Neural Networks
Authors: Shiqi Wang, Yizheng Chen, Ahmed Abdou, Suman Jana | Published: 2018-11-06 | Updated: 2018-12-01
Learning to Defend by Learning to Attack
Authors: Haoming Jiang, Zhehui Chen, Yuyang Shi, Bo Dai, Tuo Zhao | Published: 2018-11-03 | Updated: 2021-05-02