Privacy-Preserving Distributed Expectation Maximization for Gaussian Mixture Models via Fully Homomorphic Encryption
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Updated
Aug 3, 2023 - Jupyter Notebook
Privacy-Preserving Distributed Expectation Maximization for Gaussian Mixture Models via Fully Homomorphic Encryption
Logistic Regression model over encrypted data using Fully Homomorphic Encryption to detect credit card fraud, privately.
Homulator is a cycle-accurate simulator tailored for Fully Homomorphic Encryption (FHE) accelerators. It offers detailed architectural runtime information during the execution of FHE applications, supporting extensive design space exploration across a variety of FHE parameters and hardware scales.
A programming language that embbed the property of homomorphic encryption
Nothing just an implementation of logistic regression on data that is encrypted with fully homomorphic encryption
/priv/ is an experimental encrypted computer
Experiments in using Z3 to check common FHE transformations
Implementations of the solvers of *bootstrap problem* and *relinearize problem* of fully homomorphic encryption.
Thoughts on fully homomophic encryption using learning with rounding (LWR)
Julia bindings for the homomorphic encryption library OpenFHE
Privacy-Preserving Distributed Expectation Maximization for Gaussian Mixture Models via Fully Homomorphic Encryption
Official code for "DCT-CryptoNets: Scaling Private Inference in the Frequency Domain". Currently under-review
The first one in the World fast, secure and practical Fully Homomorphic Encryption (FHE) cryptosystem. So far, here I place only demo samples, since all the algorithms and implementation are proprietary
Undergraduate Thesis - A survey on fully homomorphic encryption (FHE) with statistical applications
Nothing just an implementation of CNN on data that is encrypted with fully homomorphic encryption
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