Slavkovic, Aleksandra

6 publications

ICLR 2025 Gaussian Differentially Private Human Faces Under a Face Radial Curve Representation Carlos J Soto, Matthew Reimherr, Aleksandra Slavkovic, Mark Shriver

NeurIPS 2022 Shape and Structure Preserving Differential Privacy Carlos Soto, Karthik Bharath, Matthew Reimherr, Aleksandra Slavković

NeurIPS 2021 Exact Privacy Guarantees for Markov Chain Implementations of the Exponential Mechanism with Artificial Atoms Jeremy Seeman, Matthew Reimherr, Aleksandra Slavković

ICML 2019 Benefits and Pitfalls of the Exponential Mechanism with Applications to Hilbert Spaces and Functional PCA Jordan Awan, Ana Kenney, Matthew Reimherr, Aleksandra Slavković

ICML 2019 Formal Privacy for Functional Data with Gaussian Perturbations Ardalan Mirshani, Matthew Reimherr, Aleksandra Slavković

NeurIPS 2018 Differentially Private Uniformly Most Powerful Tests for Binomial Data Jordan Awan, Aleksandra Slavković