AI safety researcher

Jean-Pierre Hubaux

Swiss Federal Institute of Technology in Lausanne

Google Scholar dblp ORCID Homepage

Latest AI safety papers

On this site: 8 papers

May 2023

slytHErin: An Agile Framework for Encrypted Deep Neural Network Inference
May 1arXiv ↗

March 2023

Scalable and Privacy-Preserving Federated Principal Component Analysis
Mar 31arXiv ↗

July 2022

Privacy-Preserving Federated Recurrent Neural Networks
Jul 28arXiv ↗

March 2021

SoK: Privacy-Preserving Collaborative Tree-based Model Learning
Mar 16arXiv ↗

January 2021

Privacy-Preserving and Efficient Verification of the Outcome in Genome-Wide Association Studies
Jan 21arXiv ↗

Authorship follows dblp and the author's own Google Scholar profile; only AI safety papers on this site are listed.