Unlearning Graph Classifiers with Limited Data Resources
Authors: Chao Pan, Eli Chien, Olgica Milenkovic | Published: 2022-11-06 | Updated: 2023-07-01
Privacy Protection Method
Revisiting Hyperparameter Tuning with Differential Privacy
Authors: Youlong Ding, Xueyang Wu | Published: 2022-11-03 | Updated: 2023-01-31
VertiBayes: Learning Bayesian network parameters from vertically partitioned data with missing values
Authors: Florian van Daalen, Lianne Ippel, Andre Dekker, Inigo Bermejo | Published: 2022-10-31 | Updated: 2024-05-21
Federated Boosted Decision Trees with Differential Privacy
Authors: Samuel Maddock, Graham Cormode, Tianhao Wang, Carsten Maple, Somesh Jha | Published: 2022-10-06
DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing
Authors: Jiawei Shao, Yuchang Sun, Songze Li, Jun Zhang | Published: 2022-10-06
Bicoptor: Two-round Secure Three-party Non-linear Computation without Preprocessing for Privacy-preserving Machine Learning
Authors: Lijing Zhou, Ziyu Wang, Hongrui Cui, Qingrui Song, Yu Yu | Published: 2022-10-05 | Updated: 2024-04-19
Recycling Scraps: Improving Private Learning by Leveraging Intermediate Checkpoints
Authors: Virat Shejwalkar, Arun Ganesh, Rajiv Mathews, Yarong Mu, Shuang Song, Om Thakkar, Abhradeep Thakurta, Xinyi Zheng | Published: 2022-10-04 | Updated: 2024-09-17
Certified Data Removal in Sum-Product Networks
Authors: Alexander Becker, Thomas Liebig | Published: 2022-10-04
Preprint: Privacy-preserving IoT Data Sharing Scheme
Authors: Ali Abdullah S. AlQahtani, Hosam Alamleh, Reem Alrawili | Published: 2022-09-26
FaRO 2: an Open Source, Configurable Smart City Framework for Real-Time Distributed Vision and Biometric Systems
Authors: Joel Brogan, Nell Barber, David Cornett, David Bolme | Published: 2022-09-26