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Joseph P. Near

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CR2
ORCID 0000-0002-3203-3742
same name
  • Joseph P. Near — 20 papers, h 20
  • Joseph P. Near — 4 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedEfficient Differentially Private Secure Aggregation for Federated Learning via Hardness of Learning with Errors

12 citations · 13 across the 2 of their papers we have counts for

collaborators

4 papers

cs.PL2024

We Know I Know You Know; Choreographic Programming With Multicast and Multiply Located Values

Mako Bates, Joseph P. Near

Concurrent distributed systems are notoriously difficult to construct and reason about. Choreographic programming is a recent paradigm that describes a distributed system in a sing…

cs.CR2024

DT-SIM: Property-Based Testing for MPC Security

Mako Bates, Joseph P. Near

Formal methods for guaranteeing that a protocol satisfies a cryptographic security definition have advanced substantially, but such methods are still labor intensive and the need r…

cs.CR2022★ 1 cited

Secret Sharing Sharing For Highly Scalable Secure Aggregation

Timothy Stevens, Joseph Near, Christian Skalka

Secure Multiparty Computation (MPC) can improve the security and privacy of data owners while allowing analysts to perform high quality analytics. Secure aggregation is a secure di…

cs.CR2021★ 12 cited

Efficient Differentially Private Secure Aggregation for Federated Learning via Hardness of Learning with Errors

Timothy Stevens, Christian Skalka, Christelle Vincent +3

Federated machine learning leverages edge computing to develop models from network user data, but privacy in federated learning remains a major challenge. Techniques using differen…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.