Towards Understanding Limitations of Pixel Discretization Against Adversarial Attacks
Authors: Jiefeng Chen, Xi Wu, Vaibhav Rastogi, Yingyu Liang, Somesh Jha | Published: 2018-05-20 | Updated: 2019-10-03
モデル抽出攻撃
PRADA: Protecting against DNN Model Stealing Attacks
Authors: Mika Juuti, Sebastian Szyller, Samuel Marchal, N. Asokan | Published: 2018-05-07 | Updated: 2019-03-31
Black-box Adversarial Attacks with Limited Queries and Information
Authors: Andrew Ilyas, Logan Engstrom, Anish Athalye, Jessy Lin | Published: 2018-04-23 | Updated: 2018-07-11
The Challenges in SDN/ML Based Network Security : A Survey
Authors: Tam N. Nguyen | Published: 2018-04-08 | Updated: 2018-04-14
A Dynamic-Adversarial Mining Approach to the Security of Machine Learning
Authors: Tegjyot Singh Sethi, Mehmed Kantardzic, Lingyu Lyua, Jiashun Chen | Published: 2018-03-24
Stealing Hyperparameters in Machine Learning
Authors: Binghui Wang, Neil Zhenqiang Gong | Published: 2018-02-14 | Updated: 2019-09-07
Model Extraction Warning in MLaaS Paradigm
Authors: Manish Kesarwani, Bhaskar Mukhoty, Vijay Arya, Sameep Mehta | Published: 2017-11-20
Towards Reverse-Engineering Black-Box Neural Networks
Authors: Seong Joon Oh, Max Augustin, Bernt Schiele, Mario Fritz | Published: 2017-11-06 | Updated: 2018-02-14
Machine Learning Models that Remember Too Much
Authors: Congzheng Song, Thomas Ristenpart, Vitaly Shmatikov | Published: 2017-09-22
Practical Machine Learning for Cloud Intrusion Detection: Challenges and the Way Forward
Authors: Ram Shankar Siva Kumar, Andrew Wicker, Matt Swann | Published: 2017-09-20