AutoGAN-based Dimension Reduction for Privacy Preservation
Authors: Hung Nguyen, Di Zhuang, Pei-Yuan Wu, Morris Chang | Published: 2019-02-27 | Updated: 2021-07-27
Model Inversion
Adversarial Neural Network Inversion via Auxiliary Knowledge Alignment
Authors: Ziqi Yang, Ee-Chien Chang, Zhenkai Liang | Published: 2019-02-22
Privacy Partitioning: Protecting User Data During the Deep Learning Inference Phase
Authors: Jianfeng Chi, Emmanuel Owusu, Xuwang Yin, Tong Yu, William Chan, Patrick Tague, Yuan Tian | Published: 2018-12-07
Differentially Private Data Generative Models
Authors: Qingrong Chen, Chong Xiang, Minhui Xue, Bo Li, Nikita Borisov, Dali Kaarfar, Haojin Zhu | Published: 2018-12-06
Generalised Differential Privacy for Text Document Processing
Authors: Natasha Fernandes, Mark Dras, Annabelle McIver | Published: 2018-11-26 | Updated: 2019-02-05
Excessive Invariance Causes Adversarial Vulnerability
Authors: Jörn-Henrik Jacobsen, Jens Behrmann, Richard Zemel, Matthias Bethge | Published: 2018-11-01 | Updated: 2020-07-12
Adversarial Attacks and Defences: A Survey
Authors: Anirban Chakraborty, Manaar Alam, Vishal Dey, Anupam Chattopadhyay, Debdeep Mukhopadhyay | Published: 2018-09-28
Explainable Black-Box Attacks Against Model-based Authentication
Authors: Washington Garcia, Joseph I. Choi, Suman K. Adari, Somesh Jha, Kevin R. B. Butler | Published: 2018-09-28
Algorithms that Remember: Model Inversion Attacks and Data Protection Law
Authors: Michael Veale, Reuben Binns, Lilian Edwards | Published: 2018-07-12 | Updated: 2018-10-15
Understanding Membership Inferences on Well-Generalized Learning Models
Authors: Yunhui Long, Vincent Bindschaedler, Lei Wang, Diyue Bu, Xiaofeng Wang, Haixu Tang, Carl A. Gunter, Kai Chen | Published: 2018-02-13