Security of Distributed Machine Learning: A Game-Theoretic Approach to Design Secure DSVM
Authors: Rui Zhang, Quanyan Zhu | Published: 2020-03-08 | Updated: 2020-04-26
ポイズニング
Dynamic Backdoor Attacks Against Machine Learning Models
Authors: Ahmed Salem, Rui Wen, Michael Backes, Shiqing Ma, Yang Zhang | Published: 2020-03-07 | Updated: 2022-03-03
Adversarial Attacks and Defenses on Graphs: A Review, A Tool and Empirical Studies
Authors: Wei Jin, Yaxin Li, Han Xu, Yiqi Wang, Shuiwang Ji, Charu Aggarwal, Jiliang Tang | Published: 2020-03-02 | Updated: 2020-12-12
Regularisation Can Mitigate Poisoning Attacks: A Novel Analysis Based on Multiobjective Bilevel Optimisation
Authors: Javier Carnerero-Cano, Luis Muñoz-González, Phillippa Spencer, Emil C. Lupu | Published: 2020-02-28 | Updated: 2020-06-20
Towards Backdoor Attacks and Defense in Robust Machine Learning Models
Authors: Ezekiel Soremekun, Sakshi Udeshi, Sudipta Chattopadhyay | Published: 2020-02-25 | Updated: 2023-01-11
Influence Function based Data Poisoning Attacks to Top-N Recommender Systems
Authors: Minghong Fang, Neil Zhenqiang Gong, Jia Liu | Published: 2020-02-19 | Updated: 2020-05-31
Deflecting Adversarial Attacks
Authors: Yao Qin, Nicholas Frosst, Colin Raffel, Garrison Cottrell, Geoffrey Hinton | Published: 2020-02-18
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets
Authors: Dongxian Wu, Yisen Wang, Shu-Tao Xia, James Bailey, Xingjun Ma | Published: 2020-02-14
CEB Improves Model Robustness
Authors: Ian Fischer, Alexander A. Alemi | Published: 2020-02-13
Adversarial Robustness for Code
Authors: Pavol Bielik, Martin Vechev | Published: 2020-02-11 | Updated: 2020-08-15