Georgi Ganev - RankMe

26 papers A* 7Journal 18Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Rethinking Anonymity Claims in Synthetic Data Generation: A Model-Centric Privacy Attack Perspective. CoRR Georgi Ganev, Emiliano De Cristofaro
2025	J	`jnl`	SMOTE and Mirrors: Exposing Privacy Leakage from Synthetic Minority Oversampling. CoRR Georgi Ganev, Reza Nazari, Rees Davison, Amir Dizche, Xinmin Wu, Ralph Abbey, Jorge Silva, Emiliano De Cristofaro
2025	—	`conf`	The DCR Delusion: Measuring the Privacy Risk of Synthetic Data. ESORICS (1) Zexi Yao, Natasa Krco, Georgi Ganev, Yves-Alexandre de Montjoye
2025	J	`jnl`	The DCR Delusion: Measuring the Privacy Risk of Synthetic Data. CoRR Zexi Yao, Natasa Krco, Georgi Ganev, Yves-Alexandre de Montjoye
2025	J	`jnl`	The Elusive Pursuit of Reproducing PATE-GAN: Benchmarking, Auditing, Debugging. Trans. Mach. Learn. Res. Georgi Ganev, Meenatchi Sundaram Muthu Selva Annamalai, Emiliano De Cristofaro
2025	A*	`conf`	The Importance of Being Discrete: Measuring the Impact of Discretization in End-to-End Differentially Private Synthetic Data. CCS Georgi Ganev, Meenatchi Sundaram Muthu Selva Annamalai, Sofiane Mahiou, Emiliano De Cristofaro
2025	J	`jnl`	The Importance of Being Discrete: Measuring the Impact of Discretization in End-to-End Differentially Private Synthetic Data. CoRR Georgi Ganev, Meenatchi Sundaram Muthu Selva Annamalai, Sofiane Mahiou, Emiliano De Cristofaro
2025	A*	`conf`	The Inadequacy of Similarity-Based Privacy Metrics: Privacy Attacks Against "Truly Anonymous" Synthetic Datasets. SP Georgi Ganev, Emiliano De Cristofaro
2025	J	`jnl`	Understanding the Impact of Data Domain Extraction on Synthetic Data Privacy. CoRR Georgi Ganev, Meenatchi Sundaram Muthu Selva Annamalai, Sofiane Mahiou, Emiliano De Cristofaro
2025	J	`jnl`	dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation. CoRR Sofiane Mahiou, Amir Dizche, Reza Nazari, Xinmin Wu, Ralph Abbey, Jorge Silva, Georgi Ganev
2024	A*	`conf`	"What do you want from theory alone?" Experimenting with Tight Auditing of Differentially Private Synthetic Data Generation. USENIX Security Symposium Meenatchi Sundaram Muthu Selva Annamalai, Georgi Ganev, Emiliano De Cristofaro
2024	J	`jnl`	"What do you want from theory alone?" Experimenting with Tight Auditing of Differentially Private Synthetic Data Generation. CoRR Meenatchi Sundaram Muthu Selva Annamalai, Georgi Ganev, Emiliano De Cristofaro
2024	A*	`conf`	Graphical vs. Deep Generative Models: Measuring the Impact of Differentially Private Mechanisms and Budgets on Utility. CCS Georgi Ganev, Kai Xu, Emiliano De Cristofaro
2024	J	`jnl`	Synthetic Data, Similarity-based Privacy Metrics, and Regulatory (Non-)Compliance. CoRR Georgi Ganev
2024	J	`jnl`	The Elusive Pursuit of Replicating PATE-GAN: Benchmarking, Auditing, Debugging. CoRR Georgi Ganev, Meenatchi Sundaram Muthu Selva Annamalai, Emiliano De Cristofaro
2023	J	`jnl`	On the Challenges of Deploying Privacy-Preserving Synthetic Data in the Enterprise. CoRR Lauren Arthur, Jason Costello, Jonathan Hardy, Will O'Brien, James Rea, Gareth Rees, Georgi Ganev
2023	J	`jnl`	On the Inadequacy of Similarity-based Privacy Metrics: Reconstruction Attacks against "Truly Anonymous Synthetic Data". CoRR Georgi Ganev, Emiliano De Cristofaro
2023	A*	`conf`	Synthetic Data Generation of Many-to-Many Datasets via Random Graph Generation. ICLR Kai Xu, Georgi Ganev, Emile Joubert, Rees Davison, Olivier Van Acker, Luke Robinson
2023	J	`jnl`	Understanding how Differentially Private Generative Models Spend their Privacy Budget. CoRR Georgi Ganev, Kai Xu, Emiliano De Cristofaro
2023	J	`jnl`	When Synthetic Data Met Regulation. CoRR Georgi Ganev
2022	A*	`conf`	On Utility and Privacy in Synthetic Genomic Data. NDSS Bristena Oprisanu, Georgi Ganev, Emiliano De Cristofaro
2022	A*	`conf`	Robin Hood and Matthew Effects: Differential Privacy Has Disparate Impact on Synthetic Data. ICML Georgi Ganev, Bristena Oprisanu, Emiliano De Cristofaro
2022	J	`jnl`	dpart: Differentially Private Autoregressive Tabular, a General Framework for Synthetic Data Generation. CoRR Sofiane Mahiou, Kai Xu, Georgi Ganev
2021	J	`jnl`	DP-SGD vs PATE: Which Has Less Disparate Impact on GANs? CoRR Georgi Ganev
2021	J	`jnl`	Measuring Utility and Privacy of Synthetic Genomic Data. CoRR Bristena Oprisanu, Georgi Ganev, Emiliano De Cristofaro
2021	J	`jnl`	Robin Hood and Matthew Effects - Differential Privacy Has Disparate Impact on Synthetic Data. CoRR Georgi Ganev, Bristena Oprisanu, Emiliano De Cristofaro