Release v1.0.3

• Corrects the noise estimation for BGV/BFV multiparty scenarios (#273)
• Adjusts the logic when trying to bootstrap CKKS ciphertexts with remaining levels (#305)
• Adds exception handling for several reported issues
• Fixes several examples
• Includes several documentation fixes

The detailed list is available at https://github.com/openfheorg/openfhe-development/pulls?q=is%3Apr+is%3Aclosed+milestone%3A%22Release+1.0.3%22

Release v1.0.2

• Fixes several compilation errors affecting selected environments
• Includes several documentation fixes

Stable release v1.0.1

First stable release of OpenFHE

• Fixes the serialization bug affecting DM/CGGI schemes (binfhe module)
• Adds support for the Emscripten compiler (for WebAssembly compilation)

Pre-release v1.0.0

• Doubles the precision of CKKS bootstrapping
• Adds support for evaluating arbitrary smooth functions, including logistic function, sine, cosine, and division
• Implements recommendations for INDCPA^D secure implementation of CKKS proposed in https://eprint.iacr.org/2022/816 (CRYPTO'22)
• Adds a new security mode for threshold FHE
• Fixes many bugs

Pre-release v0.9.5

• Improves precision of CKKS bootstrapping
• Fixes a building error in MacOS
• Includes other small bug fixes

Pre-release v0.9.4

• Fixes build errors for NATIVE_SIZE=32
• Includes other small bug fixes

Pre-release v0.9.3

• Fixes build errors in MinGW
• Fixes a compilation error with g++ 12
• Includes fixes for the Proxy Re-Encryption functionality

Pre-release v0.9.2

• Fixes a compilation error for some versions of MacOS
• Fixes a problem with docker configuration
• Includes bug fixes from PALISADE v1.11.7
• Adds support for RISC-V architecture
• Small optimizations for some of the CKKS operations

Pre-release v0.9.1

• Fixes a compilation error for NATIVE_SIZE=128 in MacOS
• Fixes small bugs

Pre-release v0.9.0

Initial pre-release of OpenFHE.

Includes all prior FHE functionality of PALISADE. Also adds the following new features:

• New BGV and BFV RNS variants proposed in https://eprint.iacr.org/2021/204
• A new CKKS RNS variant variant proposed in https://eprint.iacr.org/2020/1118
• A full RNS implementation of CKKS bootstrapping
• Adds support for multiple hardware acceleration backends using a Hardware Abstraction Layer feature
• Large-precision comparison and other algorithms proposed in https://eprint.iacr.org/2021/1337