Jeremy Seeman

According to our database, Jeremy Seeman authored at least 7 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Privately Answering Queries on Skewed Data via Per-Record Differential Privacy.

Jeremy Seeman, William Sexton, David Pujol, Ashwin Machanavajjhala

Proc. VLDB Endow., July, 2024

Perspective: Better Privacy Theorists for Better Data Stewards.

Jeremy Seeman

J. Priv. Confidentiality, 2024

Differentially Private Finite Population Estimation via Survey Weight Regularization.

Jeremy Seeman, Yajuan Si, Jerome P. Reiter

CoRR, 2024

2022

Statistical Data Privacy: A Song of Privacy and Utility.

Aleksandra B. Slavkovic, Jeremy Seeman

CoRR, 2022

A Formal Privacy Framework for Partially Private Data.

Jeremy Seeman, Aleksandra B. Slavkovic, Matthew Reimherr

CoRR, 2022

2021

Exact Privacy Guarantees for Markov Chain Implementations of the Exponential Mechanism with Artificial Atoms.

Jeremy Seeman, Matthew Reimherr, Aleksandra B. Slavkovic

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

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

Proceedings of the Privacy in Statistical Databases, 2020