Publications
2024
ProGAP: Progressive Graph Neural Networks with Differential Privacy Guarantees
Sina Sajadmanesh and Daniel Gatica-Perez
ACM International Conference on Web Search and Data Mining , March 2024
Paper Code
2023
Privacy-Preserving Machine Learning on Graphs
Sina Sajadmanesh (PhD Thesis)
Ecole Polytechnique Fédérale de Lausanne (EPFL) , December 2023
Paper
GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation
Sina Sajadmanesh, Ali Shahin Shamsabadi, Aurélien Bellet, and Daniel Gatica-Perez
USENIX Security Symposium , August 2023
Paper Code Slides
2021
Locally Private Graph Neural Networks
Sina Sajadmanesh and Daniel Gatica-Perez
ACM Conference on Computer and Communications Security (CCS) , November 2021
Paper Code Slides
2020
A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics
Seyed Ali Osia, Ali Shahin Shamsabadi, Sina Sajadmanesh, Ali Taheri, Kleomenis Katevas, Hamid R. Rabiee, Nicholas D. Lane, and Hamed Haddadi
IEEE Internet of Things Journal , May 2020
Paper Code
2019
Continuous-Time Relationship Prediction in Dynamic Heterogeneous Information Networks
Sina Sajadmanesh, Sogol Bazargani, Jiawei Zhang, and Hamid R. Rabiee
ACM Transactions on Knowledge Discovery from Data , August 2019
Paper Code
2017
NPGLM: A Non-Parametric Method for Temporal Link Prediction
Sina Sajadmanesh, Jiawei Zhang, and Hamid R. Rabiee
Preprint available on arXiv , June 2017
Paper
Kissing Cuisines: Exploring Worldwide Culinary Habits on the Web
Sina Sajadmanesh, Sina Jafarzadeh, Seyed Ali Ossia, Hamid R. Rabiee, Hamed Haddadi, Yelena Mejova, Mirco Musolesi, Emiliano De Cristofaro, and Gianluca Stringhini
26th International World Wide Web Conference (WWW) , April 2017
Paper Slides MIT Tech Review Independent France 24
2016
Predicting Anchor Links between Heterogeneous Social Networks
Sina Sajadmanesh, Hamid R. Rabiee and Ali Khodadadi
IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) , August 2016
Paper Code Slides