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Joseph P. Near
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- affiliation: University of Vermont, Burlington, VT, USA
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2020 – today
- 2024
- [c18]Ivoline C. Ngong, Nicholas Gibson, Joseph P. Near:
Olympia: A Simulation Framework for Evaluating the Concrete Scalability of Secure Aggregation Protocols. SaTML 2024: 534-551 - [c17]Farzana Akhter, Joseph P. Near:
Energy Efficient Data Routing for IoT Networks Using Genetic Algorithm. SmartNets 2024: 1-8 - [i22]Mako Bates, Joseph P. Near:
DT-SIM: Property-Based Testing for MPC Security. CoRR abs/2403.04991 (2024) - [i21]Mako Bates, Joseph P. Near:
We Know I Know You Know; Choreographic Programming With Multicast and Multiply Located Values. CoRR abs/2403.05417 (2024) - [i20]Mako Bates, Syed Jafri, Joseph P. Near:
MultiChor: Census Polymorphic Choreographic Programming with Multiply Located Values. CoRR abs/2406.13716 (2024) - [i19]Christian Skalka, Joseph P. Near:
Language-Based Security for Low-Level MPC. CoRR abs/2407.16504 (2024) - 2023
- [j7]Matías Toro
, David Darais
, Chike Abuah
, Joseph P. Near
, Damián Árquez
, Federico Olmedo
, Éric Tanter
:
Contextual Linear Types for Differential Privacy. ACM Trans. Program. Lang. Syst. 45(2): 8:1-8:69 (2023) - [i18]Ivoline C. Ngong, Nicholas Gibson, Joseph P. Near:
OLYMPIA: A Simulation Framework for Evaluating the Concrete Scalability of Secure Aggregation Protocols. CoRR abs/2302.10084 (2023) - [i17]Ivoline C. Ngong, Brad Stenger, Joseph P. Near, Yuanyuan Feng:
Evaluating the Usability of Differential Privacy Tools with Data Practitioners. CoRR abs/2309.13506 (2023) - 2022
- [j6]Chike Abuah
, David Darais
, Joseph P. Near
:
Solo: a lightweight static analysis for differential privacy. Proc. ACM Program. Lang. 6(OOPSLA2): 699-728 (2022) - [c16]Timothy Stevens, Christian Skalka, Christelle Vincent, John Ring, Samuel Clark, Joseph P. Near:
Efficient Differentially Private Secure Aggregation for Federated Learning via Hardness of Learning with Errors. USENIX Security Symposium 2022: 1379-1395 - [c15]Lun Wang, Usmann Khan
, Joseph P. Near, Qi Pang, Jithendaraa Subramanian, Neel Somani, Peng Gao, Andrew Low, Dawn Song:
PrivGuard: Privacy Regulation Compliance Made Easier. USENIX Security Symposium 2022: 3753-3770 - [i16]Timothy Stevens, Joseph P. Near, Christian Skalka:
Secret Sharing Sharing For Highly Scalable Secure Aggregation. CoRR abs/2201.00864 (2022) - [i15]Krystal Maughan, Ivoline C. Ngong, Joseph P. Near:
Prediction Sensitivity: Continual Audit of Counterfactual Fairness in Deployed Classifiers. CoRR abs/2202.04504 (2022) - [i14]Krystal Maughan, Joseph P. Near:
Improving Utility for Privacy-Preserving Analysis of Correlated Columns using Pufferfish Privacy. CoRR abs/2209.10908 (2022) - 2021
- [j5]Joseph P. Near, Xi He:
Differential Privacy for Databases. Found. Trends Databases 11(2): 109-225 (2021) - [c14]Zhiyong Fang, David Darais, Joseph P. Near, Yupeng Zhang:
Zero Knowledge Static Program Analysis. CCS 2021: 2951-2967 - [c13]Chike Abuah, Alex Silence, David Darais, Joseph P. Near:
DDUO: General-Purpose Dynamic Analysis for Differential Privacy. CSF 2021: 1-15 - [i13]Chike Abuah, Alex Silence, David Darais, Joe Near:
DDUO: General-Purpose Dynamic Analysis for Differential Privacy. CoRR abs/2103.08805 (2021) - [i12]Chike Abuah, David Darais, Joseph P. Near:
Solo: Enforcing Differential Privacy Without Fancy Types. CoRR abs/2105.01632 (2021) - [i11]Gonzalo Munilla Garrido, Joseph P. Near, Aitsam Muhammad
, Warren He, Roman Matzutt, Florian Matthes:
Do I Get the Privacy I Need? Benchmarking Utility in Differential Privacy Libraries. CoRR abs/2109.10789 (2021) - [i10]Timothy Stevens, Christian Skalka, Christelle Vincent, John Ring, Samuel Clark, Joseph P. Near:
Efficient Differentially Private Secure Aggregation for Federated Learning via Hardness of Learning with Errors. CoRR abs/2112.06872 (2021) - 2020
- [c12]Noah M. Johnson, Joseph P. Near, Joseph M. Hellerstein, Dawn Song:
Chorus: a Programming Framework for Building Scalable Differential Privacy Mechanisms. EuroS&P 2020: 535-551 - [i9]Krystal Maughan, Joseph P. Near:
Towards a Measure of Individual Fairness for Deep Learning. CoRR abs/2009.13650 (2020) - [i8]Phillip Nguyen, Alex Silence, David Darais, Joseph P. Near:
DuetSGX: Differential Privacy with Secure Hardware. CoRR abs/2010.10664 (2020) - [i7]Matías Toro, David Darais, Chike Abuah, Joe Near, Federico Olmedo, Éric Tanter:
Contextual Linear Types for Differential Privacy. CoRR abs/2010.11342 (2020) - [i6]Ivoline C. Ngong, Krystal Maughan, Joseph P. Near:
Towards Auditability for Fairness in Deep Learning. CoRR abs/2012.00106 (2020) - [i5]Usmann Khan, Lun Wang, Jithendaraa Subramanian, Joseph P. Near, Dawn Song:
PrivFramework: A System for Configurable and Automated Privacy Policy Compliance. CoRR abs/2012.05291 (2020)
2010 – 2019
- 2019
- [j4]Aleksandar Milicevic, Joseph P. Near, Eunsuk Kang, Daniel Jackson:
Alloy*: a general-purpose higher-order relational constraint solver. Formal Methods Syst. Des. 55(1): 1-32 (2019) - [j3]Joseph P. Near, David Darais, Chike Abuah
, Tim Stevens, Pranav Gaddamadugu, Lun Wang, Neel Somani, Mu Zhang, Nikhil Sharma, Alex Shan, Dawn Song:
Duet: an expressive higher-order language and linear type system for statically enforcing differential privacy. Proc. ACM Program. Lang. 3(OOPSLA): 172:1-172:30 (2019) - [c11]Roger Iyengar, Joseph P. Near, Dawn Song, Om Thakkar, Abhradeep Thakurta, Lun Wang:
Towards Practical Differentially Private Convex Optimization. IEEE Symposium on Security and Privacy 2019: 299-316 - [c10]Lun Wang, Joseph P. Near, Neel Somani, Peng Gao, Andrew Low, David Dao, Dawn Song:
Data Capsule: A New Paradigm for Automatic Compliance with Data Privacy Regulations. Poly/DMAH@VLDB 2019: 3-23 - [i4]Lun Wang, Joseph P. Near, Neel Somani, Peng Gao, Andrew Low, David Dao, Dawn Song:
Data Capsule: A New Paradigm for Automatic Compliance with Data Privacy Regulations. CoRR abs/1909.00077 (2019) - [i3]Joseph P. Near, David Darais, Chike Abuah, Tim Stevens, Pranav Gaddamadugu, Lun Wang, Neel Somani, Mu Zhang, Nikhil Sharma, Alex Shan, Dawn Song:
Duet: An Expressive Higher-order Language and Linear Type System for Statically Enforcing Differential Privacy. CoRR abs/1909.02481 (2019) - 2018
- [j2]Noah M. Johnson, Joseph P. Near, Dawn Song:
Towards Practical Differential Privacy for SQL Queries. Proc. VLDB Endow. 11(5): 526-539 (2018) - [i2]Noah M. Johnson, Joseph P. Near, Joseph M. Hellerstein, Dawn Song:
Chorus: Differential Privacy via Query Rewriting. CoRR abs/1809.07750 (2018) - 2017
- [i1]Noah M. Johnson, Joseph P. Near, Dawn Xiaodong Song:
Practical Differential Privacy for SQL Queries Using Elastic Sensitivity. CoRR abs/1706.09479 (2017) - 2016
- [c9]Joseph P. Near, Daniel Jackson:
Finding security bugs in web applications using a catalog of access control patterns. ICSE 2016: 947-958 - 2015
- [b1]Joseph P. Near:
Finding security bugs in web applications using domain-specific static analysis. Massachusetts Institute of Technology, Cambridge, MA, USA, 2015 - [c8]Aleksandar Milicevic, Joseph P. Near, Eunsuk Kang, Daniel Jackson:
Alloy*: A General-Purpose Higher-Order Relational Constraint Solver. ICSE (1) 2015: 609-619 - 2014
- [c7]Joseph P. Near, Daniel Jackson:
Derailer: interactive security analysis for web applications. ASE 2014: 587-598 - 2013
- [j1]Emina Torlak, Mana Taghdiri, Greg Dennis, Joseph P. Near:
Applications and extensions of Alloy: past, present and future. Math. Struct. Comput. Sci. 23(4): 915-933 (2013) - 2012
- [c6]Joseph P. Near, Daniel Jackson:
Rubicon: bounded verification of web applications. SIGSOFT FSE 2012: 60 - 2011
- [c5]Joseph P. Near, Aleksandar Milicevic, Eunsuk Kang, Daniel Jackson:
A lightweight code analysis and its role in evaluation of a dependability case. ICSE 2011: 31-40 - 2010
- [c4]Joseph P. Near, Daniel Jackson:
An Imperative Extension to Alloy. ASM 2010: 118-131 - [c3]Joseph P. Near:
From Relational Specifications to Logic Programs. ICLP (Technical Communications) 2010: 144-153
2000 – 2009
- 2009
- [c2]Derek Rayside, Zev Benjamin, Rishabh Singh, Joseph P. Near, Aleksandar Milicevic, Daniel Jackson:
Equality and hashing for (almost) free: Generating implementations from abstraction functions. ICSE 2009: 342-352 - 2008
- [c1]Joseph P. Near, William E. Byrd, Daniel P. Friedman:
alpha-leanTAP: A Declarative Theorem Prover for First-Order Classical Logic. ICLP 2008: 238-252
Coauthor Index
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last updated on 2024-08-20 20:31 CEST by the dblp team
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