LR
Lucas Rosenblatt
cs.LGcs.CRcs.CYcs.AIcs.CLcs.CVcs.DBcs.DScs.HCstat.ML
On Valency
published · living versionsW_attpd8u6·v1 · currentpublished
Differentially Private Synthetic Data from Sliced Chebyshev Moments
with R. Teal Witter, Christopher Musco
1 version
Preprints & journals
19 papers in the corpus · 2020–2026Towards Provably Unbiased LLM Judges via Bias-Bounded Evaluation2603.05485v1 · Benjamin Feuer, Lucas Rosenblatt, Oussama Elachqar2026 · 0 citationsarXiv
Exactly Computing do-Shapley Values2602.07203v1 · R. Teal Witter, 'Alvaro Parafita, Tomas Garriga et al.2026 · 0 citationsarXiv
Privately Fine-Tuned LLMs Preserve Temporal Dynamics in Tabular Data2602.02766v1 · Lucas Rosenblatt, Peihan Liu, Ryan McKenna et al.2026 · 0 citationsarXiv
Explanation Multiplicity in SHAP: Characterization and Assessment2601.12654v3 · Hyunseung Hwang, Seungeun Lee, Lucas Rosenblatt et al.2026 · 0 citationsarXiv
SimKey: A Semantically Aware Key Module for Watermarking Language Models2510.12828v2 · Shingo Kodama, Haya Diwan, Lucas Rosenblatt et al.2025 · 0 citationsarXiv
We Are AI: Taking Control of Technology2506.08117v1 · Julia Stoyanovich, Armanda Lewis, Eric Corbett et al.2025 · 3 citationsProceedings of the AAAI Conference on Artificial Intelligence, 2025
Fragments to Facts: Partial-Information Fragment Inference from LLMs2505.13819v1 · Lucas Rosenblatt, Bin Han, Robert Wolfe et al.2025 · 0 citationsarXiv
Are Data Experts Buying into Differentially Private Synthetic Data? Gathering Community Perspectives2412.13030v1 · Lucas Rosenblatt, Bill Howe, Julia Stoyanovich2024 · 0 citationsarXiv
Differential Privacy Under Class Imbalance: Methods and Empirical Insights2411.05733v1 · Lucas Rosenblatt, Yuliia Lut, Eitan Turok et al.2024 · 0 citationsarXiv
FairlyUncertain: A Comprehensive Benchmark of Uncertainty in Algorithmic Fairness2410.02005v1 · Lucas Rosenblatt, R. Teal Witter2024 · 1 citationarXiv
Sharper Bounds for Chebyshev Moment Matching, with Applications2408.12385v3 · Cameron Musco, Christopher Musco, Lucas Rosenblatt et al.2024 · 0 citationsarXiv
A Simple and Practical Method for Reducing the Disparate Impact of Differential Privacy2312.11712v1 · Lucas Rosenblatt, Julia Stoyanovich, Christopher Musco2023 · 1 citationarXiv
I Open at the Close: A Deep Reinforcement Learning Evaluation of Open Streets Initiatives2312.07680v1 · R. Teal Witter, Lucas Rosenblatt2023 · 1 citationarXiv
Top-down Green-ups: Satellite Sensing and Deep Models to Predict Buffelgrass Phenology2310.00740v1 · Lucas Rosenblatt, Bin Han, Erin Posthumus et al.2023 · 0 citationsarXiv
The Possibility of Fairness: Revisiting the Impossibility Theorem in Practice2302.06347v1 · Andrew Bell, Lucius Bynum, Nazarii Drushchak et al.2023 · 21 citationsarXiv
Critical Perspectives: A Benchmark Revealing Pitfalls in PerspectiveAPI2301.01874v1 · Lorena Piedras, Lucas Rosenblatt, Julia Wilkins2023 · 9 citationsNLP for Positive Impact at EMNLP 2022
Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy2208.12700v3 · Lucas Rosenblatt, Bernease Herman, Anastasia Holovenko et al.2022 · 5 citationsarXiv
Counterfactual Fairness Is Basically Demographic Parity2208.03843v4 · Lucas Rosenblatt, R. Teal Witter2022 · 10 citationsarXiv
Differentially Private Synthetic Data: Applied Evaluations and Enhancements2011.05537v1 · Lucas Rosenblatt, Xiaoyan Liu, Samira Pouyanfar et al.2020 · 28 citationsarXiv
Career total: 52 works. 19 are in this corpus.
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