Jean-Philippe Bossuat
Cryptography Research Scientist & Software Specialist
GAUSS LABS PTE. LTD.
I have been working as a research scientist and cryptography software engineer for the past five years. My work consists in researching, designing, implementing and integrating privacy preserving machine learning and statistical analytics in large scale B2B applications. The designed solutions are built on top of applied cryptography combined with other privacy enhancing technologies, such as lattice based fully homomorphic encryption, multiparty computation, federated learning and differential privacy.
- Privacy Preserving Machine Learning and Analytics
- Lattice Based Homomorphic Encryption and Secure Multiparty Computation
- EU/CH Privacy Laws Compliance
Two graded semesters at EPFL on privacy enhancing technologies, number theory and applied cryptography, 2019
École Polytechnique Fédérale de Lausanne (EPFL)
Master in Law (MLAW) in Legal Issues, Crime and Security of Information Technologies, 2019
Université de Lausanne (UNIL)
Bachelor in Law (BLAW), 2016
Université de Lausanne (UNIL)
Experience
Responsibilities include:
- Project lead of the cryptographic library Lattigo
- Research, design, implement and optimize low- and high-level cryptographic primitives, protocols and FHE/MPC-based applications for B2B privacy preserving analytics and machine learning
- Coordinate and carry out state of the art research and collaboration with external entities in the field of lattice based homomorphic encryption
- Consolidate Tune Insight’s position within the cryptographic community
- Represent Tune Insight in the iDASH challenges
- Co-author and main contributor of the cryptographic library Lattigo
- Design and optimize applications using fully homomorphic encryption
- Contribute to the research of the PHD students
- Collaborate with external entities for privacy law compliance
- Represent the Laboratory for Data Security in the iDASH challenges
- Teaching assistant
iDASH
The iDASH Privacy and Security Workshop is an interdisciplinary competition motivated by real world biomedical applications.
- Task: Homomorphic evaluation of a transformer to classify encrypted sequences of proteins
- Ranking: Among the winnng teams, final ranking discolsed the 9.11
- Team: Jean-Philippe Bossuat (Gauss Labs)
- A special thanks to Seonhong Min and Intak Hwang for their contribution to GoFHE and insightful discussions during the finalization of the solution
- Presentation: available the 9.11
- Code: GitHub
- Backend: GoFHE
- Task: Secure exploration of a genomic database to detect relatives
- Ranking: 2nd Place
- Team: Jean-Philippe Bossuat (Tune Insight), Juan Troncoso-Pastoriza (Tune Insight), Hoon Cho (Yale & Broad Institute), Ricky Magner (Broad Institute), Can Kockan (Broad Institute), David Froelicher (MIT & Broad Institute), Matthew M. Hong (MIT), Bonnie Berger (MIT), Malika Izabachène (Independant)
- Paper: Secure Discovery of Genetic Relatives across Large-Scale and Distributed Genomic Datasets
- Code: GitHub
- Presentation: YouTube
- Backend: Lattigo v4.1.1
- Task: Securly outsource phenotype prediction on encrypted genomes
- Ranking: 3rd Place
- Team: Jean-Philippe Bossuat (Tune Insight), Thierry Bossy (EPFL), Juan Troncoso-Pastoriza (Tune Insight)
- Presentation: YouTube
- Backend: Lattigo v3.0.6
- Task: Securely classify encrypted genomes of the SARS-CoV-2 among different strains
- Ranking: 2nd Place
- Team: Jean-Philippe Bossuat (EPFL), Sinem Sav (EPFL), Juan Troncoso-Pastoriza (EPFL), Jean-Pierre Hubaux (EPFL)
- Presentation: YouTube
- Code: GitHub
- Backend: Lattigo v2.1.1
- Task: Given a variant-genotype dataset with missing entries, design an efficient and accurate HE method for imputing missing entries
- Ranking: 2nd Place
- Team: David Froelicher (EPFL), Yiping Ma (EPFL), Jean-Philippe Bossuat (EPFL), Juan Troncoso-Pastoriza (EPFL), Jean-Pierre Hubaux (EPFL)
- Paper: Ultrafast homomorphic encryption models enable secure outsourcing of genotype imputation
- Code: GitHub
- Backend: Lattigo v2.1.1
Projects
Publications
Talks
Teaching
I have been a teaching assistant for the following courses:
Reviews & Sub-Reviews
I have served as a Program Commitee, reviewer or sub-reviewer for the following conferences and journals: