Joe Near
He/him
Assistant Professor
University of Vermont
Office: E458 Innovation Hall
E-mail: jnear at uvm dot edu
[ CV ]
Research Interests
My research interests include data privacy (especially differential privacy), security (especially secure/verified computation), fairness, programming languages, and machine learning.
Books
Teaching
Graduate Students (advised or co-advised)
Service
Organization
Program Committees
- 2023: CCS, VLDB
- 2022: CCS, AISTATS, VLDB, TPDP
- 2021: TPDP
- 2020: TPDP, FCS
Pre-prints
- OLYMPIA: A Simulation Framework for Evaluating the Concrete Scalability of Secure Aggregation Protocols
Ivoline C. Ngong, Nicholas Gibson, Joseph P. Near
- Improving Utility for Privacy-Preserving Analysis of Correlated Columns using Pufferfish Privacy
Krystal Maughan, Joseph P. Near
- Backpropagation Clipping for Deep Learning with Differential Privacy
Timothy Stevens, Ivoline C. Ngong, David Darais, Calvin Hirsch, David Slater, Joseph P. Near
- Prediction Sensitivity: Continual Audit of Counterfactual Fairness in Deployed Classifiers
Krystal Maughan, Ivoline C. Ngong, Joseph P. Near
- Secret Sharing Sharing For Highly Scalable Secure Aggregation
Timothy Stevens, Joseph P. Near, Christian Skalka
- Do I Get the Privacy I Need? Benchmarking Utility in Differential Privacy Libraries
Gonzalo Munilla Garrido, Joseph P. Near, Aitsam Muhammad, Warren He, Roman Matzutt, Florian Matthes
- Contextual Linear Types for Differential Privacy
Matias Toro, David Darais, Chike Abuah, Joseph P. Near, Damian Arquez, Federico Olmedo, Eric Tanter
ACM Transactions on Programming Languages and Systems (TOPLAS), 2023
Recent Publications
- Solo: A Lightweight Static Analysis for Differential Privacy
Chike Abuah, David Darais, Joseph P. Near
In OOPSLA, 2022
(PDF)
- Efficient Differentially Private Secure Aggregation for Federated Learning via Hardness of Learning with Errors
Timothy Stevens, Christian Skalka, Christelle Vincent, John Ring, Samuel Clark, Joseph P. Near
In USENIX Security, 2022
(PDF)
- PrivGuard: Privacy Regulation Compliance Made Easier
Lun Wang, Usmann Khan, Joseph P. Near, Qi Pang, Jithendaraa Subramanian, Neel Somani, Peng Gao, Andrew Low, and Dawn Song
In USENIX Security, 2022
- Zero Knowledge Static Program Analysis
Zhiyong Fang, David Darais, Joseph P. Near, and Yupeng Zhang
In Communications and Computer Security (CCS), 2021
- DDUO: General-Purpose Dynamic Analysis for Differential Privacy
Chike Abuah, Alex Silence, David Darais, Joseph P. Near
In Computer Security Foundations (CSF), 2021
(PDF)
- Chorus: a Programming Framework for Building Scalable Differential Privacy Mechanisms
Noah Johnson, Joseph P. Near, Joseph M. Hellerstein, and Dawn Song
In European Symposium on Security & Privacy (EuroS&P), 2020
(PDF)
E458 Innovation Hall,
Burlington, VT
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