Roxana Geambasu

Roxana Geambasu

Columbia University in the City of New York

H-index: 24

North America-United States

About Roxana Geambasu

Roxana Geambasu, With an exceptional h-index of 24 and a recent h-index of 17 (since 2020), a distinguished researcher at Columbia University in the City of New York, specializes in the field of systems, security and privacy.

His recent articles reflect a diverse array of research interests and contributions to the field:

Advancing differential privacy: Where we are now and future directions for real-world deployment

Turbo: Effective Caching in Differentially-Private Databases

Challenges towards the next frontier in privacy

How to combine membership-inference attacks on multiple updated machine learning models

Packing privacy budget efficiently

Toward training at imagenet scale with differential privacy

Privacy budget scheduling

Pythia: grammar-based fuzzing of rest apis with coverage-guided feedback and learning-based mutations

Roxana Geambasu Information

University

Position

Assistant Professor of Computer Science

Citations(all)

3226

Citations(since 2020)

1868

Cited By

2273

hIndex(all)

24

hIndex(since 2020)

17

i10Index(all)

32

i10Index(since 2020)

23

Email

University Profile Page

Columbia University in the City of New York

Google Scholar

View Google Scholar Profile

Roxana Geambasu Skills & Research Interests

systems

security and privacy

Top articles of Roxana Geambasu

Title

Journal

Author(s)

Publication Date

Advancing differential privacy: Where we are now and future directions for real-world deployment

Rachel Cummings

Damien Desfontaines

David Evans

Roxana Geambasu

Yangsibo Huang

...

2024/1/16

Turbo: Effective Caching in Differentially-Private Databases

Kelly Kostopoulou

Pierre Tholoniat

Asaf Cidon

Roxana Geambasu

Mathias Lécuyer

2023/10/23

Challenges towards the next frontier in privacy

arXiv preprint arXiv:2304.06929

Rachel Cummings

Damien Desfontaines

David Evans

Roxana Geambasu

Matthew Jagielski

...

2023/4/14

How to combine membership-inference attacks on multiple updated machine learning models

Proceedings on Privacy Enhancing Technologies

Matthew Jagielski

Stanley Wu

Alina Oprea

Jonathan Ullman

Roxana Geambasu

2023

Packing privacy budget efficiently

arXiv preprint arXiv:2212.13228

Pierre Tholoniat

Kelly Kostopoulou

Mosharaf Chowdhury

Asaf Cidon

Roxana Geambasu

...

2022/12/26

Toward training at imagenet scale with differential privacy

arXiv preprint arXiv:2201.12328

Alexey Kurakin

Shuang Song

Steve Chien

Roxana Geambasu

Andreas Terzis

...

2022/1/28

Privacy budget scheduling

Tao Luo

Mingen Pan

Pierre Tholoniat

Asaf Cidon

Roxana Geambasu

...

2021

Pythia: grammar-based fuzzing of rest apis with coverage-guided feedback and learning-based mutations

arXiv preprint arXiv:2005.11498

Vaggelis Atlidakis

Roxana Geambasu

Patrice Godefroid

Marina Polishchuk

Baishakhi Ray

2020/5/23

See List of Professors in Roxana Geambasu University(Columbia University in the City of New York)