Phillipp Schoppmann
TitoloCitata daAnno
Privacy-Preserving Distributed Linear Regression on High-Dimensional Data
A Gascón, P Schoppmann, B Balle, M Raykova, J Doerner, S Zahur, ...
Proceedings on Privacy Enhancing Technologies 2017 (4), 345–364, 2017
552017
Secure Linear Regression on Vertically Partitioned Datasets.
A Gascˇn, P Schoppmann, B Balle, M Raykova, J Doerner, S Zahur, ...
IACR Cryptology ePrint Archive 2016 (892), 2016
162016
Private Nearest Neighbors Classification in Federated Databases
P Schoppmann, A Gascˇn, B Balle
IACR Cryptology ePrint Archive 2018 (289), 2018
52018
Make Some ROOM for the Zeros: Data Sparsity in Secure Distributed Machine Learning
P Schoppmann, A Gascˇn, M Raykova, B Pinkas
Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communicationsá…, 2019
32019
Distributed Vector-OLE: Improved Constructions and Implementation
P Schoppmann, A Gascˇn, L Reichert, M Raykova
Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communicationsá…, 2019
12019
Poster: Solving Private Systems of Linear Equations with Garbled Circuits
P Schoppmann, A Gascˇn, B Balle
IEEE Symposium on Security and Privacy, 2016
12016
Secure and Scalable Document Similarity on Distributed Databases: Differential Privacy to the Rescue
P Schoppmann, L Vogelsang, A Gascˇn, B Balle
Proceedings on Privacy Enhancing Technologies 2020 (2), 209-229, 2020
2020
Communication–Computation Trade-offs in PIR
A Ali, T Lepoint, S Patel, M Raykova, P Schoppmann, K Seth, K Yeo
IACR Cryptology ePrint Archive 2019 (1483), 2019
2019
PPML'19: Privacy Preserving Machine Learning
B Balle, A Gascˇn, O Ohrimenko, M Raykova, P Schoppmann, ...
Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communicationsá…, 2019
2019
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
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