| 2026 | AAAI | Harnessing Vision-Language Models for Time Series Anomaly Detection. | Zelin He, Sarah Alnegheimish, Matthew Reimherr |
| 2025 | AISTATS | M | Sarah Alnegheimish, Zelin He, Matthew Reimherr, Akash Chandrayan, Abhinav Pradhan, Luca D'Angelo |
| 2025 | ICLR | Gaussian Differentially Private Human Faces Under a Face Radial Curve Representation. | Carlos J. Soto, Matthew Reimherr, Aleksandra B. Slavkovic, Mark Shriver |
| 2024 | ICML | Smoothness Adaptive Hypothesis Transfer Learning. | Haotian Lin, Matthew Reimherr |
| 2024 | ICML | On Hypothesis Transfer Learning of Functional Linear Models. | Haotian Lin, Matthew Reimherr |
| 2024 | PSD | Differentially Private Quantile Regression. | Tran Tran, Matthew Reimherr, Aleksandra B. Slavkovic |
| 2020 | PSD | Private Posterior Inference Consistent with Public Information: A Case Study in Small Area Estimation from Synthetic Census Data. | Jeremy Seeman, Aleksandra B. Slavkovic, Matthew Reimherr |
| 2019 | ICML | Benefits and Pitfalls of the Exponential Mechanism with Applications to Hilbert Spaces and Functional PCA. | Jordan Awan, Ana Kenney, Matthew Reimherr, Aleksandra B. Slavkovic |
| 2019 | ICML | Formal Privacy for Functional Data with Gaussian Perturbations. | Ardalan Mirshani, Matthew Reimherr, Aleksandra B. Slavkovic |