About me
I am a PhD student in the School of Engineering at École Polytechnique Fédérale de Lausanne (EPFL) and a research assistant in the Social Computing group at Idiap Research Institute under the supervision of Prof. Daniel Gatica-Perez. I am also a member of Digital Humanities Institute at EPFL, and dhCenter, the UNIL-EPFL joint center for digital humanities.
My academic research interest lies at the intersection of privacy, machine learning, and social network analysis. Currently, I work on designing privacy-preserving representation learning algorithms for large-scale graphs such as social and information networks. I contribute to the AI4media project, a European Union’s Horizon 2020 research and innovation program focusing on the next generation of ethical and trustworthy AI research to serve media and society.
News
I was invited to give a talk about our work “Locally Private Graph Neural Networks” at Graph Neural Networks User Group Meetup run by Amazon Web Services and NVIDIA AI. The recording is available on Youtube and the slides can be downloaded from here.
I presented our recent CCS paper “Locally Private Graph Neural Networks” at AI4Media Workshop on Explainability, Robustness and Privacy in AI. Slides can be downloaded from here.
Our paper “Locally Private Graph Neural Networks” with Daniel Gatica-Perez has been accepted to the ACM Conference on Computer and Communications Security (CCS 2021).