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ORCIDGeorgi Ganev
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2020 – today
- 2024
[c5]Georgi Ganev
, Kai Xu, Emiliano De Cristofaro:
Graphical vs. Deep Generative Models: Measuring the Impact of Differentially Private Mechanisms and Budgets on Utility. CCS 2024: 1596-1610- [c4]Meenatchi Sundaram Muthu Selva Annamalai, Georgi Ganev, Emiliano De Cristofaro:
"What do you want from theory alone?" Experimenting with Tight Auditing of Differentially Private Synthetic Data Generation. USENIX Security Symposium 2024 - [i11]Meenatchi Sundaram Muthu Selva Annamalai, Georgi Ganev, Emiliano De Cristofaro:
"What do you want from theory alone?" Experimenting with Tight Auditing of Differentially Private Synthetic Data Generation. CoRR abs/2405.10994 (2024) - [i10]Georgi Ganev, Meenatchi Sundaram Muthu Selva Annamalai, Emiliano De Cristofaro:
The Elusive Pursuit of Replicating PATE-GAN: Benchmarking, Auditing, Debugging. CoRR abs/2406.13985 (2024) - [i9]Georgi Ganev:
Synthetic Data, Similarity-based Privacy Metrics, and Regulatory (Non-)Compliance. CoRR abs/2407.16929 (2024) - 2023
- [c3]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. ICLR 2023 - [i8]Georgi Ganev, Kai Xu, Emiliano De Cristofaro:
Understanding how Differentially Private Generative Models Spend their Privacy Budget. CoRR abs/2305.10994 (2023) - [i7]Georgi Ganev:
When Synthetic Data Met Regulation. CoRR abs/2307.00359 (2023) - [i6]Lauren Arthur, Jason Costello, Jonathan Hardy, Will O'Brien, James Rea, Gareth Rees, Georgi Ganev:
On the Challenges of Deploying Privacy-Preserving Synthetic Data in the Enterprise. CoRR abs/2307.04208 (2023) - [i5]Georgi Ganev, Emiliano De Cristofaro:
On the Inadequacy of Similarity-based Privacy Metrics: Reconstruction Attacks against "Truly Anonymous Synthetic Data". CoRR abs/2312.05114 (2023) - 2022
- [c2]Georgi Ganev, Bristena Oprisanu, Emiliano De Cristofaro:
Robin Hood and Matthew Effects: Differential Privacy Has Disparate Impact on Synthetic Data. ICML 2022: 6944-6959 - [c1]Bristena Oprisanu, Georgi Ganev, Emiliano De Cristofaro:
On Utility and Privacy in Synthetic Genomic Data. NDSS 2022 - [i4]Sofiane Mahiou, Kai Xu, Georgi Ganev:
dpart: Differentially Private Autoregressive Tabular, a General Framework for Synthetic Data Generation. CoRR abs/2207.05810 (2022) - 2021
- [i3]Bristena Oprisanu, Georgi Ganev, Emiliano De Cristofaro:
Measuring Utility and Privacy of Synthetic Genomic Data. CoRR abs/2102.03314 (2021) - [i2]Georgi Ganev, Bristena Oprisanu, Emiliano De Cristofaro:
Robin Hood and Matthew Effects - Differential Privacy Has Disparate Impact on Synthetic Data. CoRR abs/2109.11429 (2021) - [i1]Georgi Ganev:
DP-SGD vs PATE: Which Has Less Disparate Impact on GANs? CoRR abs/2111.13617 (2021)
Coauthor Index
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