Joe Near

He/him
Associate Professor
University of Vermont
Office: E458 Innovation Hall
E-mail: jnear at uvm dot edu
[ CV ]

[ Books | Teaching | Students | Service | Publications ]

• Member, UVM PLAID lab
• Member, UVM Center for Computer Security and Privacy

Research Interests

My research interests include data privacy (especially differential privacy), security (especially secure/verified computation), fairness, programming languages, and machine learning.

	Programming Differential Privacy A book about differential privacy, for programmers. By Joseph P. Near and Chiké Abuah
	Differential Privacy for Databases By Joseph P. Near and Xi He

• CS 3020: Compiler Construction (Spring 2025, Spring 2024)
• CS 3110/5110: Data Privacy (Fall 2024, Fall 2023)
• CS 3990/5990: Secure Distributed Computation (Fall 2023)

• Craig Agricola (PhD)
• Mako Bates (PhD)
• Prianka Bhattacharjee (PhD)
• Onyinye Dibia (PhD)
• Syed Jafri (PhD)
• Krystal Maughan (PhD)
• Ivoline Ngong (PhD)
• Ratang Sedimo (PhD)

Organization

• TPDP: Theory and Practice of Differential Privacy (2024, 2025)
• miniKanren: The miniKanren and Relational Programming Workshop (2024)
• FCS: Foundations of Computer Security Workshop (2022, 2021)

Program Committees

• 2025: CCS, USENIX Security, PETS
• 2024: CCS, AISTATS, PETS
• 2023: CCS, VLDB, TPDP
• 2022: CCS, AISTATS, VLDB, TPDP
• 2021: TPDP
• 2020: TPDP, FCS

• SoK: Usability Studies in Differential Privacy
  Onyinye Dibia, Brad Stenger, Steven Baldasty, Mako Bates, Ivoline C. Ngong, Yuanyuan Feng, Joseph P. Near
  
• MultiChor: Census Polymorphic Choreographic Programming with Multiply Located Values
  Mako Bates, Syed Jafri, Joseph P. Near
  
• We Know I Know You Know; Choreographic Programming With Multicast and Multiply Located Values
  Mako Bates, Joseph P. Near
  
• DT-SIM: Property-Based Testing for MPC Security
  Mako Bates, Joseph P. Near
  
• Improving Utility for Privacy-Preserving Analysis of Correlated Columns using Pufferfish Privacy
  Krystal Maughan, 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
  

Recent Publications

• SMT-Boosted Security Types for Low-Level MPC
  Christian Skalka, Joseph P. Near
  In ESOP, 2025
  (PDF)
• Differentially Private Learning Needs Better Model Initialization and Self-Distillation
  Ivoline C. Ngong, Joseph P. Near, Niloofar Mireshghallah
  In NAACL, 2025
  (PDF)
• Foldable, Recursive Proofs of Isogeny Computation with Reduced Time Complexity
  Krystal Maughan, Joseph P. Near, Christelle Vincent
  In IEEE QCE, 2024
  (PDF)
• Language-Based Security for Low-Level MPC
  Christian Skalka, Joseph P. Near
  In PPDP, 2024
  (PDF)
• Evaluating the Usability of Differential Privacy Tools with Data Practitioners
  Ivoline C. Ngong, Brad Stenger, Joseph P. Near, Yuanyuan Feng
  In SOUPS, 2024
  (PDF)
• OLYMPIA: A Simulation Framework for Evaluating the Concrete Scalability of Secure Aggregation Protocols
  Ivoline C. Ngong, Nicholas Gibson, Joseph P. Near
  In IEEE SaTML, 2024
  (PDF)
• 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, 2023
• 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