Ohrimenko, Olga

9 publications

NeurIPS 2025 AdaptDel: Adaptable Deletion Rate Randomized Smoothing for Certified Robustness Zhuoqun Huang, Neil G Marchant, Olga Ohrimenko, Benjamin I. P. Rubinstein

TMLR 2025 RS-Reg: Probabilistic and Robust Certified Regression Through Randomized Smoothing Aref Miri Rekavandi, Olga Ohrimenko, Benjamin I. P. Rubinstein

NeurIPS 2024 Certified Adversarial Robustness via Randomized $\alpha$-Smoothing for Regression Models Aref Miri Rekavandi, Farhad Farokhi, Olga Ohrimenko, Benjamin I.P. Rubinstein

AISTATS 2023 Protecting Global Properties of Datasets with Distribution Privacy Mechanisms Michelle Chen, Olga Ohrimenko

NeurIPS 2023 RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion Zhuoqun Huang, Neil G Marchant, Keane Lucas, Lujo Bauer, Olga Ohrimenko, Benjamin I. Rubinstein

ICML 2023 Tight Data Access Bounds for Private Top-$k$ Selection Hao Wu, Olga Ohrimenko, Anthony Wirth

NeurIPS 2019 An Algorithmic Framework for Differentially Private Data Analysis on Trusted Processors Joshua Allen, Bolin Ding, Janardhan Kulkarni, Harsha Nori, Olga Ohrimenko, Sergey Yekhanin

NeurIPS 2019 Oblivious Sampling Algorithms for Private Data Analysis Sajin Sasy, Olga Ohrimenko

NeurIPS 2018 Contamination Attacks and Mitigation in Multi-Party Machine Learning Jamie Hayes, Olga Ohrimenko