Universal, transferable and targeted adversarial attacks
Authors: Junde Wu, Rao Fu | Published: 2019-08-29 | Updated: 2022-06-13
ポイズニング
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
Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses
Authors: Xiao Wang, Siyue Wang, Pin-Yu Chen, Yanzhi Wang, Brian Kulis, Xue Lin, Peter Chin | Published: 2019-08-20
On Defending Against Label Flipping Attacks on Malware Detection Systems
Authors: Rahim Taheri, Reza Javidan, Mohammad Shojafar, Zahra Pooranian, Ali Miri, Mauro Conti | Published: 2019-08-13 | Updated: 2020-06-16
On the Design of Black-box Adversarial Examples by Leveraging Gradient-free Optimization and Operator Splitting Method
Authors: Pu Zhao, Sijia Liu, Pin-Yu Chen, Nghia Hoang, Kaidi Xu, Bhavya Kailkhura, Xue Lin | Published: 2019-07-26 | Updated: 2019-12-04
Explaining Vulnerabilities to Adversarial Machine Learning through Visual Analytics
Authors: Yuxin Ma, Tiankai Xie, Jundong Li, Ross Maciejewski | Published: 2019-07-17 | Updated: 2019-10-03
Adversarial Security Attacks and Perturbations on Machine Learning and Deep Learning Methods
Authors: Arif Siddiqi | Published: 2019-07-17
Helen: Maliciously Secure Coopetitive Learning for Linear Models
Authors: Wenting Zheng, Raluca Ada Popa, Joseph E. Gonzalez, Ion Stoica | Published: 2019-07-16 | Updated: 2019-09-03
Stateful Detection of Black-Box Adversarial Attacks
Authors: Steven Chen, Nicholas Carlini, David Wagner | Published: 2019-07-12
Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack
Authors: Francesco Croce, Matthias Hein | Published: 2019-07-03 | Updated: 2020-07-20