More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence
Authors: Tianqing Zhu, Dayong Ye, Wei Wang, Wanlei Zhou, Philip S. Yu | Published: 2020-08-05
Privacy Assessment
Unacceptable, where is my privacy? Exploring Accidental Triggers of Smart Speakers
Authors: Lea Schönherr, Maximilian Golla, Thorsten Eisenhofer, Jan Wiele, Dorothea Kolossa, Thorsten Holz | Published: 2020-08-02
LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy
Authors: Lichao Sun, Jianwei Qian, Xun Chen | Published: 2020-07-31 | Updated: 2021-05-21
Efficient Sparse Secure Aggregation for Federated Learning
Authors: Constance Beguier, Mathieu Andreux, Eric W. Tramel | Published: 2020-07-29 | Updated: 2021-10-18
Evaluation of Federated Learning in Phishing Email Detection
Authors: Chandra Thapa, Jun Wen Tang, Alsharif Abuadbba, Yansong Gao, Seyit Camtepe, Surya Nepal, Mahathir Almashor, Yifeng Zheng | Published: 2020-07-27 | Updated: 2021-05-21
Hide-and-Seek Privacy Challenge
Authors: James Jordon, Daniel Jarrett, Jinsung Yoon, Tavian Barnes, Paul Elbers, Patrick Thoral, Ari Ercole, Cheng Zhang, Danielle Belgrave, Mihaela van der Schaar | Published: 2020-07-23 | Updated: 2020-07-24
Private Post-GAN Boosting
Authors: Marcel Neunhoeffer, Zhiwei Steven Wu, Cynthia Dwork | Published: 2020-07-23 | Updated: 2021-03-25
Robust Machine Learning via Privacy/Rate-Distortion Theory
Authors: Ye Wang, Shuchin Aeron, Adnan Siraj Rakin, Toshiaki Koike-Akino, Pierre Moulin | Published: 2020-07-22 | Updated: 2021-05-18
How Does Data Augmentation Affect Privacy in Machine Learning?
Authors: Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu | Published: 2020-07-21 | Updated: 2021-02-26
Differentially Private Simple Linear Regression
Authors: Daniel Alabi, Audra McMillan, Jayshree Sarathy, Adam Smith, Salil Vadhan | Published: 2020-07-10