OpenReview
.net
OpenReview
.net
Login
OpenReview
.net
Login
Joseph Near
Associate Professor, Computer Science, University of Vermont
Joined
May 2021
Names
Joseph Near
(Preferred)
,
Joseph Paul Near
,
Joseph P Near
,
Joseph P. Near
Emails
****@uvm.edu
(Confirmed)
Personal Links
Homepage
DBLP
Career & Education History
Associate Professor
Computer Science,
University of Vermont
(uvm.edu)
2024
–
Present
Assistant Professor
Computer Science,
University of Vermont
(uvm.edu)
2018
–
2024
Postdoc
University of California Berkeley
(berkeley.edu)
2015
–
2018
PhD student
Massachusetts Institute of Technology
(mit.edu)
2008
–
2015
Advisors, Relations & Conflicts
PhD Advisee
Ivoline C. Ngong
2019
–
Present
Postdoc Advisor
Dawn Song
2015
–
2018
PhD Advisor
Daniel Jackson
2008
–
2015
Expertise
multiparty computation
Present
differential privacy
Present
Publications
Contextual Linear Types for Differential Privacy
Matías Toro
,
David Darais
,
Chike Abuah
,
Joseph P. Near
,
Damián Árquez
,
Federico Olmedo
,
Éric Tanter
Published: 01 Jan 2023, Last Modified: 10 Oct 2023
ACM Trans. Program. Lang. Syst. 2023
Readers:
Everyone
Evaluating the Usability of Differential Privacy Tools with Data Practitioners
Ivoline C. Ngong
,
Brad Stenger
,
Joseph P. Near
,
Yuanyuan Feng
Published: 01 Jan 2023, Last Modified: 10 Oct 2023
CoRR 2023
Readers:
Everyone
PrivGuard: Privacy Regulation Compliance Made Easier
Lun Wang
,
Usmann Khan
,
Joseph P. Near
,
Qi Pang
,
Jithendaraa Subramanian
,
Neel Somani
,
Peng Gao
,
Andrew Low
,
Dawn Song
2022 (modified: 24 Apr 2023)
USENIX Security Symposium 2022
Readers:
Everyone
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
Published: 01 Jan 2022, Last Modified: 10 Oct 2023
USENIX Security Symposium 2022
Readers:
Everyone
Improving Utility for Privacy-Preserving Analysis of Correlated Columns using Pufferfish Privacy
Krystal Maughan
,
Joseph P. Near
Published: 01 Jan 2022, Last Modified: 10 Oct 2023
CoRR 2022
Readers:
Everyone
Solo: a lightweight static analysis for differential privacy
Chike Abuah
,
David Darais
,
Joseph P. Near
Published: 01 Jan 2022, Last Modified: 10 Oct 2023
Proc. ACM Program. Lang. 2022
Readers:
Everyone
Prediction Sensitivity: Continual Audit of Counterfactual Fairness in Deployed Classifiers
Krystal Maughan
,
Ivoline C. Ngong
,
Joseph P. Near
Published: 01 Jan 2022, Last Modified: 10 Oct 2023
CoRR 2022
Readers:
Everyone
Secret Sharing Sharing For Highly Scalable Secure Aggregation
Timothy Stevens
,
Joseph P. Near
,
Christian Skalka
Published: 01 Jan 2022, Last Modified: 10 Oct 2023
CoRR 2022
Readers:
Everyone
Zero Knowledge Static Program Analysis
Zhiyong Fang
,
David Darais
,
Joseph P. Near
,
Yupeng Zhang
Published: 01 Jan 2021, Last Modified: 14 May 2023
CCS 2021
Readers:
Everyone
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
Published: 01 Jan 2021, Last Modified: 20 Sept 2023
CoRR 2021
Readers:
Everyone
View all 38 publications
Co-Authors
Abhradeep Thakurta
Aitsam Muhammad
Aleksandar Milicevic
Alex Shan
Alex Silence
Andrew Low
Brad Stenger
Chike Abuah
Christelle Vincent
Christian Skalka
Damián Árquez
Daniel Jackson
Daniel P. Friedman
David Dao
David Darais
Dawn Song
Dawn Xiaodong Song
Derek Rayside
Emina Torlak
Eunsuk Kang
Federico Olmedo
Florian Matthes
Gonzalo Munilla Garrido
Greg Dennis
Ivoline C. Ngong
View all 56 co-authors