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
モデルインバージョン
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
URLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection
Authors: Hung Le, Quang Pham, Doyen Sahoo, Steven C. H. Hoi | Published: 2018-02-09 | Updated: 2018-03-02
Privacy-Preserving Deep Inference for Rich User Data on The Cloud
Authors: Seyed Ali Osia, Ali Shahin Shamsabadi, Ali Taheri, Kleomenis Katevas, Hamid R. Rabiee, Nicholas D. Lane, Hamed Haddadi | Published: 2017-10-04 | Updated: 2017-10-11