dpart: Differentially Private Autoregressive Tabular, a General Framework for Synthetic Data Generation
Authors: Sofiane Mahiou, Kai Xu, Georgi Ganev | Published: 2022-07-12
Privacy Protection
Federated and Transfer Learning: A Survey on Adversaries and Defense Mechanisms
Authors: Ehsan Hallaji, Roozbeh Razavi-Far, Mehrdad Saif | Published: 2022-07-05
Federated Split GANs
Authors: Pranvera Kortoçi, Yilei Liang, Pengyuan Zhou, Lik-Hang Lee, Abbas Mehrabi, Pan Hui, Sasu Tarkoma, Jon Crowcroft | Published: 2022-07-04
Scalable privacy-preserving cancer type prediction with homomorphic encryption
Authors: Esha Sarkar, Eduardo Chielle, Gamze Gursoy, Leo Chen, Mark Gerstein, Michail Maniatakos | Published: 2022-04-12
SoK: Privacy Preserving Machine Learning using Functional Encryption: Opportunities and Challenges
Authors: Prajwal Panzade, Daniel Takabi | Published: 2022-04-11 | Updated: 2022-09-02
Stability and Generalization of Differentially Private Minimax Problems
Authors: Yilin Kang, Yong Liu, Jian Li, Weiping Wang | Published: 2022-04-11 | Updated: 2022-04-22
HBFL: A Hierarchical Blockchain-based Federated Learning Framework for a Collaborative IoT Intrusion Detection
Authors: Mohanad Sarhan, Wai Weng Lo, Siamak Layeghy, Marius Portmann | Published: 2022-04-08
Distributed data analytics
Authors: Richard Mortier, Hamed Haddadi, Sandra Servia, Liang Wang | Published: 2022-03-26
MERLIN — Malware Evasion with Reinforcement LearnINg
Authors: Tony Quertier, Benjamin Marais, Stéphane Morucci, Bertrand Fournel | Published: 2022-03-24 | Updated: 2022-03-30
SoK: Differential Privacy on Graph-Structured Data
Authors: Tamara T. Mueller, Dmitrii Usynin, Johannes C. Paetzold, Daniel Rueckert, Georgios Kaissis | Published: 2022-03-17