GenoCrypt is a method for identifying genetic relatives without compromising privacy by taking advantage of novel cryptographic techniques customized for secure and private comparison of genetic information.

GenoCrypt was created by Dane He, Nicholas A. Furlotte, Farhad Hormozdiari, Jong Wha J. Joo, Akshay Wadia, Rafail Ostrovsky, Amit Sahai, and Eleazar Eskin.


  • Beta Version of code is available !

  • (2014-02-28) Paper was accepted !

  • (2012-02-08) Paper was submitted


For general questions, comments or suggestions about Crypto, please email Eleazar Eskin.

For specific questions or bug report about Crypto software, please email Farhad Hormozdiari (fhormoz (AT)


N.F., D.H., F.H., J.J. and E.E. are supported by National Science Foundation (NSF) grants 0513612, 0731455, 0729049, 0916676, and 1320589, and National Institutes of Health (NIH) grants K25-HL080079, U01-DA024417, P01-HL30568 and PO1-HL28481. N.F. is supported by NIH training grant 2T32NS048004-06A1. E.E., A.S. and R.O. are supported by NSF grant 1065276. A.S. and R.O. are supported by NSF grants 1136174, 0916574 and 0830803 and a Xerox Faculty Re- search Award. A.S. is supported in part from a DARPA/ONR PROCEED award, and NSF grants 1228984, and 1118096. R.O. is supported by NSF grants 1016540 and 1118126 and US-Israel BSF grant 2008411. We acknowledge the support of the NINDS Informatics Center for Neurogenetics and Neurogenomics (P30 NS062691). This material is based upon work supported by the Defense Advanced Research Projects Agency through the U.S. O ce of Naval Research under Contract N00014-11-1-0389. The views expressed are those of the authors and do not re policy or position of the Department of Defense, the National Science Foundation, the National Institute of Health, or the U.S. Government.