Jordan Awan
Publications and Pre-Prints
Differential Privacy
- Moosavi, B., Awan, J. " Public Good Provision under Locally Private Signals. arXiv:2606.24013.
- Awan, J., Chen, X., Molinari, R. " Large-Scale Bayesian Approximations for Privatized Data. arXiv:2604.24817.
- Cho, Y., Awan, J. " Beyond Data Splitting: Full Conformal Prediction by Differential Privacy. arXiv:2603.07522.
- Chen, Y.-W., Pasupathy, R., Awan, J. " Near-Optimal Private Tests for Simple and MLR Hypotheses. arXiv:2601:21959.
- Miglioli, C., Awan, J. " Incomplete U-Statistics of Equireplicate Designs: Berry–Esseen Bound and Efficient Construction. arXiv:2510.20755.
- Wang, Z., Chang, A., Awan, J. " Optimal Debiased Inference on Privatized Data via Indirect Estimation and Parametric Bootstrap." arXiv:2507.10746.
- Cho, Y., Awan, J. "Formal Privacy Guarantees with Invariant Statistics." arXiv:2410.17468.
- Ohnishi, Y., Awan, J. ''Differentially Private Covariate Balancing Causal Inference." arXiv:2410.14789.
- Awan, J., Barrientos, A. F., Ju, N. ''Statistical Inference for Privatized Data with Unknown Sample Size.'' arXiv:2406.06231.
- Eng, K., Awan, J., Ju, N., Rao, V., Gong, R. (2026+) "dapper: Data Augmentation for Private Posterior Estimation in R." R Journal.
- Chen, Y.-W., Sanghi, P., Awan, J. (2026) " Particle Filter for Bayesian Inference on Privatized Data." Journal of Machine Learning Research.
- Wang, Z., Cheng, G., Awan, J. (2025) "Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies.'' Journal of Machine Learning Research.
- Awan, J., Edwards, A., Bartholomew, P., Sillers, A. (2025) ''Best Linear Unbiased Estimate from Privatized Contingency Tables." Journal of Machine Learning Research.
- Chen, Y.-W., Pasupathy, R., Awan, J. (2025) "Optimal Survey Design for Private Mean Estimation." International Conference on Machine Learning.
- Awan, J., Wang, Y. (2025) ''Differentially Private Kolmogorov-Smirnov-Type Tests.'' Electronic Journal of Statistics.
- Ohnishi, Y., Awan, J. (2025) ''Locally Private Causal Inference for Randomized Experiments.'' Journal of Machine Learning Research.
- Awan, J., Cai, Z. (2025) One Step to Efficient Synthetic Data.'' Statistica Sinica. arXiv Link
- Awan, J., Wang, Z. (2025) ''Simulation-based Finite-sample Inference for Privatized Data.'' Journal of the American Statistical Association.
- Awan, J., Ramasethu, A. (2024) ''Optimizing Noise for f-Differential Privacy
via Anti-Concentration and Stochastic Dominance.'' Journal of Machine Learning Research.
- Kang, T., Kim, S., Sohn, J., Awan, J. (2024) ''Differentially Private Topological Data Analysis.'' Journal of Machine Learning Research.
- Awan, J., Vadhan, S. (2023)
''Canonical Noise and Private Hypothesis Tests with Applications to Difference of Proportions Testing.'' Annals of Statistics.
- Awan, J., Rao, V. (2023) ''Privacy-Aware Rejection Sampling.'' Journal of Machine Learning Research.
- Awan, J., Dong, J. (2022) ''Log-Concave and Multivariate Canonical Noise Distributions for Differential Privacy.'' Advances in Neural Information Processing Systems 36.
- Ju, N., Awan, J., Gong, R., Rao, V. (2022) ''Data Augmentation MCMC for Bayesian Inference from Privatized Data.'' Advances in Neural Information Processing Systems 36.
- Awan, J., Slavkovic, A. (2021) ''Structure and Sensitivity in Differential Privacy: Comparing K-Norm Mechanisms.'' Journal of the American Statistical Association.
- Reimherr, M., Awan, J.. (2019) ''KNG: The K-Norm Gradient Mechanism.'' Advances in Neural Information Processing Systems 32.
- Reimherr, M., Awan, J. (2019) ''Elliptical Perturbations for Differential Privacy.'' Advances in Neural Information Processing Systems 33.
- Awan, J., Kenney, A., Reimherr, M., Slavkovic A. (2019) ''Benefits and Pitfalls of the Exponential Mechanism with Applications to Hilbert Spaces and Functional PCA.'' Proceedings of the 36th International Conference on International Conference on Machine Learning.
- Awan, J., Slavkovic, A. (2018) ''Differentially Private Uniformly Most Powerful Tests for Binomial Data.'' Advances in Neural Information Processing Systems 31.
Applications
- Awan, S., Awan, J., McKenna, V., Gifford, S., Burns, E., Sun, Z., Chen, J., Eddins, D. (2026+) "Effect of Vowel Type on Aerodynamic Measures of Estimated Subglottal Pressure and Airflow." Journal of Speech, Language, and Hearing Research. Accepted.
- Awan, S., Awan, J., Bonilha, H., Gillespie, A., McKenna, V., Chen, J., Eddins, D. (2025+) ''Using a Vortex Whistle System to Estimate Phonatory Airflow via the Phonation Quotient.'' Journal of Voice.
- Awan, S., Awan, J., (2025+) ''
Comparison of Methods of Eliciting Vital Capacity: Forced vs. Slow Vital Capacity.'' Journal of Voice.
- Awan, S., Shaikh, M., Awan, J., Abdalla, I., Lim, K., Misono, S., (2025) ''Smartphone Recordings are Comparable to 'Gold Standard' Recordings for Acoustic Measurements of Voice.'' Journal of Voice.
- Feinstein, H., Daşdöğen, Ü., Awan, J., Awan, S., Verdolini Abbott, K. (2025) ''Comparative Analysis of Two Methods of Perceptual Voice Assessment.'' Journal of Voice.
- Li, A., Chen, J., Awan, J. , Eddins, D., Awan, S. (2022) ''Performance Analysis and Parametric Study of Vortex Whistle.'' Proceedings of the ASME 2022 Fluids Engineering Division Summer Meeting. Volume 1: Fluid Applications and Systems (FASTC); Fluid Measurement and Instrumentation (FMITC); Fluid Mechanics (FMTC).
- Li, A., Awan, J. , Chen, J., Eddins, D., Awan, S. (2022) ''Enhancing the Vortex Whistle for Measures of Respiratory Capacity via CFD and CAA.'' Journal of Biomechanical Engineering.
- Awan, S., Awan, J. (2022) ''Use of a Vortex Whistle for Measures of Respiratory Capacity.'' Journal of Voice. Best paper award.
- Awan, S., Awan, J. (2020) ``A Two-Stage Cepstral Analysis Procedure for the Classification of Rough Voices.'' Journal of Voice.
- Gaskill, C., Awan, J., Watts, C., Awan, S. (2016) ''Acoustic and Perceptual Classification of Within-sample Normal, Intermittently Dysphonic, and Consistently Dysphonic Voice Types.'' Journal of Voice.
- Awan, S., Awan, J. (2013) ''The Effect of Gender on Measures of Electroglottographic Contact Quotient.'' Journal of Voice.
Discrete Mathematics
- Awan, J., Bernardi, O. (2024) ''Tutte Polynomials for Regular Oriented Matroids.'' Discrete Mathematics.
- Awan, J., Frechette, C., Li, Y., McMahon, E. (2022) ''Demicaps in AG(4,3) and their Relation to Maximal Cap Partitions.'' Graphs and Combinatorics.
- Awan, J., Bernardi, O. (2020) ''Tutte Polynomials for Directed Graphs.'' Journal of Combinatorial Theory, Series B.
Non-Research Publications
- Awan, J., Gong, R. (2024). '' Statistical Inference and Differential Privacy.'' In Handbook of Sharing Confidential Data, pp. 115-135. Chapman and Hall/CRC.
- Awan, J. (2024). ''Here's How Machine Learning can Violate your Privacy.'' The Conversation. May 23, 2024.
- Habib, S., Pires, B., Benedetto, G., Rodriguez, R., Awan, J., Stanley, J., Totty, E., Germinario, G., & Stevenson, R. (2023). ''Automated Synthetic Data Validation: Applying Noise Injection for Disclosure S., Pires, Avoidance.'' Joint Statistical Meetings (JSM), Toronto, Canada.
- Awan, J., Reimherr, M., Slavkovic, A. (2020). ''Formal Privacy for Modern Nonparametric Statistics.'' CHANCE.
- Awan, S., Awan, J., Watts, C., S. Gaskill, C. (2018). ''Response to Aichinger and Kubin Re: Letter to the Editor ``Acoustic and Perceptual Classification of Within-Sample Normal, Intermittently Dysphonic, and Consistently Dysphonic Voice Types.'' Journal of Voice.