Deep Reinforcement Learning for Cyber Security
Authors: Thanh Thi Nguyen, Vijay Janapa Reddi | Published: 2019-06-13 | Updated: 2021-11-02
Defense Method
Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective
Authors: Kaidi Xu, Hongge Chen, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Mingyi Hong, Xue Lin | Published: 2019-06-10 | Updated: 2019-10-14
Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers
Authors: Hadi Salman, Greg Yang, Jerry Li, Pengchuan Zhang, Huan Zhang, Ilya Razenshteyn, Sebastien Bubeck | Published: 2019-06-09 | Updated: 2020-01-10
Adversarial Attack Generation Empowered by Min-Max Optimization
Authors: Jingkang Wang, Tianyun Zhang, Sijia Liu, Pin-Yu Chen, Jiacen Xu, Makan Fardad, Bo Li | Published: 2019-06-09 | Updated: 2021-11-01
Robustness for Non-Parametric Classification: A Generic Attack and Defense
Authors: Yao-Yuan Yang, Cyrus Rashtchian, Yizhen Wang, Kamalika Chaudhuri | Published: 2019-06-07 | Updated: 2020-02-24
On Configurable Defense against Adversarial Example Attacks
Authors: Bo Luo, Min Li, Yu Li, Qiang Xu | Published: 2018-12-06
Random Spiking and Systematic Evaluation of Defenses Against Adversarial Examples
Authors: Huangyi Ge, Sze Yiu Chau, Bruno Ribeiro, Ninghui Li | Published: 2018-12-05 | Updated: 2020-01-20
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
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