Visit my Google Scholar page for the full list of my publications.


Kai Xu, Georgi Ganev, Emile Joubert, Rees Davison, Olivier Van Acker, Luke Robinson
Synthetic Data Generation of Many-to-Many Datasets via Random Graph Generation
11th International Conference on Learning Representations (ICLR 2023)

Georgi Ganev, Bristena Oprisanu, Emiliano De Cristofaro
Robin Hood and Matthew Effects: Differential Privacy Has Disparate Impact on Synthetic Data
39th International Conference on Machine Learning (ICML 2022)
pre-print | paper | poster | video
Coverage: Apple

Bristena Oprisanu, Georgi Ganev, Emiliano De Cristofaro
On Utility and Privacy in Synthetic Genomic Data
8th Workshop on Genome Privacy and Security (GenoPri 2021)
29th Network and Distributed System Security Symposium (NDSS 2022)
pre-print | paper


Sofiane Mahiou, Kai Xu, Georgi Ganev
dpart: Differentially Private Autoregressive Tabular, a General Framework for Synthetic Data Generation
8th ICML Workshop on Theory and Practice of Differential Privacy (TPDP 2022), part of ICML 2022
pre-print | code | poster | video

Georgi Ganev
DP-SGD vs PATE: Which Has Less Disparate Impact on GANs?
3rd AAAI Workshop on Privacy-Preserving Artificial Intelligence (PPAI 2022), part of AAAI 2022
pre-print | paper | poster | video