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 # OpenFHE Python bindings
 
-Python bindings for OpenFHE's implementation of CKKS and BGV encryption schemes, including arithmetic operations, bootstraping, and neural network operations. This README has instructions for building a Python wheel file, which can be imported as a Python module for use in Python codebases. These bindings are a dependency for code developed that accompanies the manuscript: [High-Resolution Convolutional Neural Networks on Homomorphically Encrypted Data via Sharding Ciphertexts
+Python bindings for OpenFHE's implementation of CKKS and BGV encryption schemes, including arithmetic operations, bootstraping, and neural network operations. This README has instructions for building a Python wheel file, which can be imported as a Python module for use in Python codebases. These bindings are a dependency for [code developed](https://github.com/JHUAPL/SHIELD) that accompanies the manuscript: [High-Resolution Convolutional Neural Networks on Homomorphically Encrypted Data via Sharding Ciphertexts
 ](https://arxiv.org/abs/2306.09189).
 
 ## Requirements
@@ -33,4 +33,4 @@ Once installed, the bindings can be imported with `import pyOpenFHE`. See the SH
 
 ## Citation and Acknowledgements
 
-Please cite this work if using it on other projects. In addition to the authors on the supporting manuscript (Vivian Maloney, Freddy Obrect, Vikram Saraph, Prathibha Rama, and Kate Tallaksen), Aaron Pendergrass and Charlie Schneider also made significant contributions to this work.
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+Please cite this work if using it on other projects. In addition to the authors on the supporting manuscript (Vivian Maloney, Freddy Obrect, Vikram Saraph, Prathibha Rama, and Kate Tallaksen), Aaron Pendergrass and Charlie Schneider also made significant contributions to this work.