Publications

Avoiding Genetic Racial Profiling in Criminal DNA Profile Databases

Jacob A. Blindenbach, Karthik A. Jagadeesh, Gill Bejerano, and David J. Wu

Nature Computational Science, 1 (4), 2021
Presented at International Workshop on Privacy and Security (GenoPri), 2021

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Abstract

DNA profiling has become an essential tool for crime solving and prevention, and CODIS (Combined DNA Index System) criminal investigation databases have flourished at the national, state and even local level. However, reports suggest that the DNA profiles of all suspects searched in these databases are often retained, which could result in racial profiling. Here, we devise an approach to both enable broad DNA profile searches and preserve exonerated citizens’ privacy through a real-time privacy-preserving procedure to query CODIS databases. Using our approach, an agent can privately and efficiently query a suspect’s DNA profile device in the field, learning only whether the profile matches against any database profile. More importantly, the central database learns nothing about the queried profile, and thus cannot retain it. Our approach paves the way to implement privacy-preserving DNA profile searching in CODIS databases and any CODIS-like system.

BibTeX
@article{BJBW21,
  author  = {Jacob A. Blindenbach and Karthik A. Jagadeesh and Gill Bejerano and David J. Wu},
  title   = {Avoiding Genetic Racial Profiling in Criminal {DNA} Profile Databases},
  journal = {Nature Computational Science},
  volume  = {1},
  number  = {4},
  pages   = {272--279},
  year    = {2021}
}