About me
I am a second-year 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
Our paper “Locally Private Graph Neural Networks” with Daniel Gatica-Perez has been accepted to ACM Conference on Computer and Communications Security (CCS 2021), Seoul, South Korea (Acceptance Rate: 17%).
I delivered a remote talk on our recent work, “Locally Private Graph Neural Networks” at Twitter Machine Learning Seminar. You can download the slides from here.
I delivered a remote talk on privacy-preserving deep learning over graphs in Information Processing and Communcations Lab at Imperial College London. You can download the slides from here.