2 papers
cs.LG2025
PRIVET: Privacy Metric Based on Extreme Value Theory
Antoine Szatkownik, Aurélien Decelle, Beatriz Seoane +6
Deep generative models are often trained on sensitive data, such as genetic sequences, health data, or more broadly, any copyrighted, licensed or protected content. This raises cri…
q-bio.GN2025
Interpreting artificial neural networks to detect genome-wide association signals for complex traits
Burak Yelmen, Maris Alver, Merve Nur Güler +3
Investigating the genetic architecture of complex diseases is challenging due to the multifactorial and interactive landscape of genomic and environmental influences. Although geno…