Secure and Distributed Assessment of Privacy-Preserving Releases of GWAS

Autor: Pascoal, Túlio, Decouchant, Jérémie, Völp, Marcus

Genome-wide association studies (GWAS) identify correlations between the genetic variants and an observable characteristic such as a disease. Previous works presented privacy-preserving distributed algorithms for a federation of genome data holders t

Externí odkaz: http://arxiv.org/abs/2208.14947

Slow denial-of-service attacks on software defined networks

Autor: Pascoal, Túlio A., Fonseca, Iguatemi E., Nigam, Vivek

Publikováno v: In Computer Networks 22 May 2020 173

Towards practical Genome-Wide Association Studies: Overview and Challenges

Autor: Pascoal, Túlio, Decouchant, Jérémie, Volp, Marcus

The popularization of large-scale federated Genome-Wide Association Study (GWAS) where multiple data owners share their genome data to conduct federated analytics uncovers new privacy issues that have remained unnoticed or not given proper attention.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2658::f466f0c4b77371d2c214a24af69b41ce
http://orbilu.uni.lu/handle/10993/51682

DyPS: Dynamic, Private and Secure GWAS (Summary)

Autor: Pascoal, Túlio, Decouchant, Jérémie, Boutet, Antoine, Esteves-Verissimo, Paulo

Publikováno v: GenoPri 2021-8th International Workshop on ​Genome Privacy and Security
GenoPri 2021-8th International Workshop on ​Genome Privacy and Security, Sep 2021, Online, France. pp.1-2

International audience; Genome-Wide Association Studies (GWAS) identify the genomic variations that are statistically associated with a particular phenotype (e.g., a disease). GWAS results, i.e., statistics, benefit research and personalized medicine

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::9731aa9cf3c778ec08a4a56940f866da
https://inria.hal.science/hal-03354910