HELR is a software project for performing a logistic regression training on encrypted data (Secure Logistic Regression based on Homomorphic Encryption: Design and Evaluation (https://medinform.jmir.org/2018/2/e19/)).
Step 1: brew install GMP
Step 2: brew install NTL
Step 3: git clone https://github.com/K-miran/HELR.git
make clean
rm *.o libHELR.a || echo nothing to clean
rm: libHELR.a: No such file or directory
nothing to clean
make all
g++ -g -O2 -std=c++11 -pthread -c -I/usr/local/include Database.cpp
g++ -g -O2 -std=c++11 -pthread -c -I/usr/local/include LRtest.cpp
g++ -g -O2 -std=c++11 -pthread -c -I/usr/local/include HELR.cpp
ar -q libHELR.a Database.o LRtest.o HELR.oar: creating archive libHELR.a
Step 6: cp libHELR.a /usr/local/lib/
Step 7: cd src
Step 8: make all
gcc -c -I/usr/local/include -I. -std=c++11 *.cpp
ar rc libheaan.a ../src/*.o
/Applications/Xcode.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/bin/ranlib: file: libheaan.a(Cipher.o) has no symbols/Applications/Xcode.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/bin/ranlib: file: libheaan.a(Message.o) has no symbols
Step 9: g++ -std=c++11 -O2 -I/usr/local/include -pthread Test_HELR.cpp src/libheaan.a libHELR.a -o foo -L/usr/local/lib -lntl -lgmp -lm
Step 10: ./foo data/edint.txt 3
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