Label differential privacy via clustering
Authors: Hossein Esfandiari, Vahab Mirrokni, Umar Syed, Sergei Vassilvitskii | Published: 2021-10-05
Data Privacy Assessment
Secure Machine Learning over Relational Data
Authors: Qiyao Luo, Yilei Wang, Zhenghang Ren, Ke Yi, Kai Chen, Xiao Wang | Published: 2021-09-30
Fairness-Driven Private Collaborative Machine Learning
Authors: Dana Pessach, Tamir Tassa, Erez Shmueli | Published: 2021-09-29
Differentially Private Aggregation in the Shuffle Model: Almost Central Accuracy in Almost a Single Message
Authors: Badih Ghazi, Ravi Kumar, Pasin Manurangsi, Rasmus Pagh, Amer Sinha | Published: 2021-09-27
SGDE: Secure Generative Data Exchange for Cross-Silo Federated Learning
Authors: Eugenio Lomurno, Alberto Archetti, Lorenzo Cazzella, Stefano Samele, Leonardo Di Perna, Matteo Matteucci | Published: 2021-09-24 | Updated: 2022-09-07
A Validated Privacy-Utility Preserving Recommendation System with Local Differential Privacy
Authors: Seryne Rahali, Maryline Laurent, Souha Masmoudi, Charles Roux, Brice Mazeau | Published: 2021-09-23
Partial sensitivity analysis in differential privacy
Authors: Tamara T. Mueller, Alexander Ziller, Dmitrii Usynin, Moritz Knolle, Friederike Jungmann, Daniel Rueckert, Georgios Kaissis | Published: 2021-09-22 | Updated: 2021-11-28
An automatic differentiation system for the age of differential privacy
Authors: Dmitrii Usynin, Alexander Ziller, Moritz Knolle, Andrew Trask, Kritika Prakash, Daniel Rueckert, Georgios Kaissis | Published: 2021-09-22 | Updated: 2022-04-05
Differential Privacy in Personalized Pricing with Nonparametric Demand Models
Authors: Xi Chen, Sentao Miao, Yining Wang | Published: 2021-09-10
On the impossibility of non-trivial accuracy under fairness constraints
Authors: Carlos Pinzón, Catuscia Palamidessi, Pablo Piantanida, Frank Valencia | Published: 2021-07-14 | Updated: 2021-11-23