DDUO: General-Purpose Dynamic Analysis for Differential Privacy.
Chiké T. Abuah, Alex Silence, David Darais, Joseph P. Near.
In Computer Security Foundations (CSF), 2021. (pdf)
Duet: An Expressive Higher-Order Language and Linear Type System for Statically Enforcing Differential Privacy.
Joseph P. Near, David Darais, Chiké T. Abuah, Tim Stevens, Pranav Gaddamadugu, Lun Wang, Neel Somani, Mu Zhang, Nikhil Sharma, Alex Shan, and Dawn Song.
In Object-oriented Programming, Systems, Languages, and Applications (OOPSLA). 2019. (pdf)
**ACM SIGPLAN Distinguished Paper Award** Download implementation here
Solo: A Lightweight Static Analysis for Differential Privacy.
Chiké T. Abuah, David Darais, Joseph P. Near.
OOPSLA '22. (pdf)
Contextual Linear Types for Differential Privacy.
Matias Toro, David Darais, Chiké T. Abuah, Joseph P. Near, Federico Olmedo, Eric Tanter.
ACM Transactions on Programming Languages and Systems (TOPLAS). (pdf)
Acknowledged for contributing to the book: Programming Language Foundations in Agda.
Bio
Chiké Abuah is a computer scientist, specializing in data privacy, cybersecurity,
and program analysis.
He received his PhD in computer science at the University of Vermont in 2021.
Currently he researches and implements program analysis tools which help
programmers build reliable software.
Chiké received his BA from Grinnell College, and MS from the University of Massachusetts.