Rosenblatt, Lucas

8 publications

ICML 2025 Differential Privacy Under Class Imbalance: Methods and Empirical Insights Lucas Rosenblatt, Yuliia Lut, Ethan Turok, Marco Avella Medina, Rachel Cummings

NeurIPS 2025 Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data Shlomi Hod, Lucas Rosenblatt, Julia Stoyanovich

ICML 2025 Fragments to Facts: Partial-Information Fragment Inference from LLMs Lucas Rosenblatt, Bin Han, Robert Wolfe, Bill Howe

COLT 2025 Sharper Bounds for Chebyshev Moment Matching, with Applications Cameron Musco, Christopher Musco, Lucas Rosenblatt, Apoorv Vikram Singh

AAAI 2025 We Are AI: Taking Control of Technology Julia Stoyanovich, Armanda Lewis, Eric Corbett, Lucius E. J. Bynum, Lucas Rosenblatt, Falaah Arif Khan

AAAI 2024 A Simple and Practical Method for Reducing the Disparate Impact of Differential Privacy Lucas Rosenblatt, Julia Stoyanovich, Christopher Musco

AAAI 2024 I Open at the Close: A Deep Reinforcement Learning Evaluation of Open Streets Initiatives R. Teal Witter, Lucas Rosenblatt

AAAI 2023 Counterfactual Fairness Is Basically Demographic Parity Lucas Rosenblatt, R. Teal Witter