Release v2.0.0

Release Notes: V2.0.0

Features

• Added new problem estimators for:
  • Rank Syndrome Decoding
• Added new scheme estimators for:
  • MAYO Signature Scheme
  • BIKE KEM
• Added Hashimoto’s algorithm in MQ and MAYO estimators
• Incorporated speed improvements for MQEstimator
• Improved table visualization for scheme estimators

Fixes

• Bug fixes for several estimators, including:
  • MREstimator
  • UOVEstimator
  • SDEstimator
  • MAYOEstimator

Technical Changes

• Transition to a pure Python library:
  CryptographicEstimators are now independent of SageMath.
• Implemented new docstring style
• Added a new KAT testing framework based on pytest

v1.4.0

Features

• added basic MAYO estimator
• improved web GUI

Fixes

• bugfixes for UOV and MQ estimator

Changes

• substituted many sage functions by python built-ins

Release v1.3.1

Feature

• Gui for UOV and MinRank estimators

Fixes

• Readme of how to create documentation

Changes

• Crossbred now uses only univariate power series.
• Documentation is already prebuilt and accessible via the GitHub repo

Release v1.3.0

New estimators

Estimators added to the backend

• Regular Syndrome Decoding Problem
• MinRank Problem
• UOV Signature Scheme

Fixes

• Sd stern behavior for multiple solutions

Release v1.2.1

Fixes

• Fix the default value of memory_access in the input_dictionary.json to be the integer 0.

v1.2.0

Release v1.2.0

Major:

• Introduction of “scheme estimator” concept
• Integrated first scheme estimator: UOV estimator including one algorithm

Minor:

• Several smaller bugfixes for SD and MQ estimators
• Changed default value of linear algebra constant to 2.81
• Fixes to the estimates of MQ algorithms: Crossbred, F5

Release v1.1.1

Release Notes

Smaller bugfixes

• updated readme with links to user guide and web application
• added sonarcloud checks and fixed corresponding bugs

Release v1.1.0

Release Notes

New Features

• Added new TMTO for BJMM in the SDEstimator
• Added user guide
• Added developer guide
• MQAlgorithms follows convention

Restructuring

• Decoupled printing routine from base estimator class
• Introduced templates for new estimator generation

Fixes affecting Estimates

• fixed number of solutions for SDFq problem (according to the official comment to SDitH in the NIST PQC forum). This also affects the PKEstimator, LEEstimator and PEEstimator.
• fixed the computation of memory access costs. The time complexity is now calculated as T = #B_op * T_op + #B_op * f(M), where #B_op is the amount of basic operations, T_op the bit complexity per basic operation and f(M) the memory access cost associated with one basic operation.

Smaller bugfixes

• updated readme
• fixed failing GUI for PKEstimator
• fixed several float overflows due to implicit conversion

Release v1.0.1

Fixes

• fix missing estimator imports

• fix estimator name with the right casing

Release v1.0.0

Features

Implementation for the following estimators:

• Binary Syndrome Decoding Problem
• Syndrome Decoding Problem over larger fields
• Mulivariate Quadratic Problem
• Permuted Kernel Problem
• Linear Equivalence Problem
• Permutation Equivalence Problem