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SUMMARY:​​Encrypted computing in Python using OpenFHE - Sukanya Mandal
DTSTART;TZID=Europe/Prague:20240712T143500
DTEND;TZID=Europe/Prague:20240712T150500
DTSTAMP:20260904T195058Z
UID:pretalx-europython-2024-TBBKAM@programme.europython.eu
DESCRIPTION:Fully Homomorphic Encryption (FHE) is a privacy-enhancing tech
 nology that enables performing computations over encrypted data. FHE has r
 ecently seen a lot of progress\, and commercial applications of FHE are no
 w available. One of the main application domains for FHE is privacy-preser
 ving machine learning. We introduce a Python interface for OpenFHE\, a pop
 ular open-source FHE C++ software library that supports all common FHE sch
 emes. OpenFHE is a NumFocus-sponsored open-source project that has been au
 thored by a community of well-known FHE cryptographers and software engine
 ers.The talk provides a high-level introduction to FHE and its application
 s\, and then provides an overview of the Python API. Several examples are 
 presented to both illustrate FHE concepts and show the practicality of the
  technology.\n\nMore information about the OpenFHE project: \n* Main websi
 te: https://www.openfhe.org/ \;\n* OpenFHE discourse forum: https://openfh
 e.discourse.group/ \;\n* Main OpenFHE repository: https://github.com/openf
 heorg/openfhe-development \;\n* OpenFHE organization: https://github.com/o
 penfheorg \;\n* Main OpenFHE design paper: https://eprint.iacr.org/2022/91
 5 \;
LOCATION:North Hall
URL:https://programme.europython.eu/europython-2024/talk/TBBKAM/
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