David Jules Froelicher

I am a research assistant and PhD student under the supervision of Prof. Jean-Pierre Hubaux at the Laboratory for Data Security (LDS) and Bryan Ford at the Decentralized and Distributed Systems Laboratory (DeDiS), at the Ecole Polytechnique Fédérale de Lausanne (EPFL). I earned my MSc and BSc in Computer Science with a specialisation in IT Security from EPFL in 2016. In 2015, I did a master thesis internship in the NEC research laboratory in Heidelberg, Germany, where I have been involved in the design and implementation of a system enabling proofs of retrievability on deduplicate data. I am currently working on privacy-preserving data sharing by relying on homomorphic encryption, differential privacy, distributed systems and blockchain technologies.

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Scalable and Privacy-Preserving Federated Principal Component Analysis

System and method for privacy-preserving distributed training of neural network models on distributed datasets

Ultrafast homomorphic encryption models enable secure outsourcing of genotype imputation

Scalable and Privacy-Preserving Federated Principal Component Analysis

System and method for privacy-preserving distributed training of neural network models on distributed datasets

Ultrafast homomorphic encryption models enable secure outsourcing of genotype imputation