I am a MSc student, in Computer Science,
at ENS Rennes and
University of Rennes 1.
to December 2017, I worked at La Sapienza Università di Roma
about privacy-preserving information sharing. From January to June 2018, I was in Montreal at McGill
University, working about the integration of analytical tool such as Python Numpy with a relational database
Prior to that, I made a two-months internship at IRISA
working on privacy in collaborative filtering recommenders, and a three-months internship
at EPFL working on atomic commit protocols.
As many day-to-day applications now struggle with
huge amounts of data, the search of efficient and scalable protocols has become
a fondamental challenge. I am interested by the design, the implementation and the experimental evaluation
of such algorithms. I like also to focus on the privacy threats thay may arise when dealing with distributed and large scale systems.
Joseph Vinish D’silva, Florestan De Moor, and Bettina Kemme.
AIDA - Abstraction for Advanced
, 11(11):1400–1413, 2018.
Antoine Boutet, Florestan De Moor, Davide Frey, Rachid Guerraoui, Anne-Marie Kermarrec, and Antoine
Rault. Collaborative Filtering Under a Sybil Attack: Similarity Metrics do Matter! In 48th Annual
IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2018, Luxembourg City,
Luxembourg, June 25-28, 2018, pages 466–477, 2018.