Adversarial Attacks and Defenses in Images, Graphs and Text: A Review
Authors: Han Xu, Yao Ma, Haochen Liu, Debayan Deb, Hui Liu, Jiliang Tang, Anil K. Jain | Published: 2019-09-17 | Updated: 2019-10-09
Poisoning
They Might NOT Be Giants: Crafting Black-Box Adversarial Examples with Fewer Queries Using Particle Swarm Optimization
Authors: Rayan Mosli, Matthew Wright, Bo Yuan, Yin Pan | Published: 2019-09-16
Node Injection Attacks on Graphs via Reinforcement Learning
Authors: Yiwei Sun, Suhang Wang, Xianfeng Tang, Tsung-Yu Hsieh, Vasant Honavar | Published: 2019-09-14
Sparse and Imperceivable Adversarial Attacks
Authors: Francesco Croce, Matthias Hein | Published: 2019-09-11
PDA: Progressive Data Augmentation for General Robustness of Deep Neural Networks
Authors: Hang Yu, Aishan Liu, Xianglong Liu, Gengchao Li, Ping Luo, Ran Cheng, Jichen Yang, Chongzhi Zhang | Published: 2019-09-11 | Updated: 2020-02-24
When Explainability Meets Adversarial Learning: Detecting Adversarial Examples using SHAP Signatures
Authors: Gil Fidel, Ron Bitton, Asaf Shabtai | Published: 2019-09-08
Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents
Authors: Xian Yeow Lee, Sambit Ghadai, Kai Liang Tan, Chinmay Hegde, Soumik Sarkar | Published: 2019-09-05 | Updated: 2019-11-19
Metric Learning for Adversarial Robustness
Authors: Chengzhi Mao, Ziyuan Zhong, Junfeng Yang, Carl Vondrick, Baishakhi Ray | Published: 2019-09-03 | Updated: 2019-10-28
Universal, transferable and targeted adversarial attacks
Authors: Junde Wu, Rao Fu | Published: 2019-08-29 | Updated: 2022-06-13
Transferring Robustness for Graph Neural Network Against Poisoning Attacks
Authors: Xianfeng Tang, Yandong Li, Yiwei Sun, Huaxiu Yao, Prasenjit Mitra, Suhang Wang | Published: 2019-08-20 | Updated: 2020-02-26