Scholar
Georgi Ganev
Google Scholar ID: TVWEFoUAAAAJ
Researcher at SAS/UCL
Citations & Impact
Citations
228
H-index
9
i10-index
7
Publications
18
Co-authors
5
list available
Publications
Resume (English only)
Academic Achievements
- His work has been published in top-tier conferences such as ICML, ICLR, IEEE S&P, USENIX Security, ACM CCS, NDSS, and in journals like TMLR. He has discovered over 25 privacy-related bugs in popular open-source libraries and vulnerabilities in deployed products. His research has been integrated into Hazy's product and deployed across numerous companies, playing a key role in SAS's acquisition of the company.
Research Experience
- Works as a Principal Research Scientist at SAS, joining through the acquisition of Hazy, a synthetic data company. At UCL, he develops new Differentially Private (DP) generative models, evaluates properties of existing DP generative models and mechanisms, explores novel privacy attacks and DP auditing methods, and analyzes legal implications of synthetic data.
Education
- MSc in Computational Statistics and Machine Learning from University College London (UCL), UK, Advisor: Prof. Sebastian Riedel; BSc in Business Mathematics and Statistics from London School of Economics and Political Science (LSE), UK, Advisor: Prof. Wicher Bergsma.
Background
- AI & Privacy Researcher, currently a Principal Research Scientist at SAS and a PhD Researcher at UCL. Part of the Information Security Research Group at UCL, supervised by Prof. Emiliano De Cristofaro and Prof. David Barber. His research focuses on the intersection of machine learning and privacy, with an emphasis on developing privacy-preserving synthetic data techniques to support trustworthy and responsible data sharing.
Miscellany
- Based in London, UK. Can be reached via Email, Twitter, LinkedIn, Github, and Google Scholar.
