v0.4.0

Version 0.4.0 - 2022-06-29

This release includes the following updates

New Features

• Add RewriteRollbackStrategy, SAPStrategy.
• Redesign defense strategy API.
• Add AdvTrainStrategy, SEMStrategy, SAPDStrategy.

v0.3.1

Version 0.3.1 - 2021-07-20

This release includes the following updates

New Features

• Add dynamic_len seed option to ASRS, so the paraphrase can have different length.
• Fix bug in asrs_utils_lm

v0.3.0

Version 0.3.0 - 2021-06-05

This release includes the following updates

New Features

• Rename BertSamplingStrategy model as ASRSStrategy.
• Update ASRS to use Cross Encoder as default similarity metric.
• Add timeout feature to TextAttackStrategy.
• Update benchmark results.
• Add paper reference.

v0.2.4

Version 0.2.4 - 2021-03-3

This release includes the following updates

New Features

• Improve the doc string and documentation for adversarial training.
• Add experimental code about non-autoregressive paraphrase strategy.

v0.2.3

Version 0.2.3 - 2021-02-17

This release adds experimental code to adversarial training.

New Features

• Add a default adversarial tuning strategy.
• Add API in classifiers to support adversarial tuning.
• Add args in benchmark for adversarial tuning.

v0.2.2

Version 0.2.2 - 2021-02-03

This release fixes bugs and adds unit tests.

New Features

• Add Sentence BERT metric and corresponding unit test.
• Fix the bug of the colab demo.

v0.2.1

Version 0.2.1 - 2021-01-20

This release improves documentation and unit tests.

New Features

• Add integrity test for IdentityStrategy, TextAttackStrategy, and BertSamplingStrategy.
• For IdentityStrategy and TextAttackStrategy, accuracy is verified.
• Improve documentation, separate data format from benchmark.

v0.2.0

Version 0.2.0 - 2021-01-06

This release updates the structure of the project and improves documentation.

New Features

• Metric module is redesigned to have a consistant API. (Issue #12)
• More unit tests are added. Slow unit tests are skipped in CI. (Issue #11)
• Benchmark table is updated. (Issue #10)
• Better support to TextAttack. Users can choose any implemented attacking method in TextAttack using the ta_recipe arg. (Issue #9)

v0.1.3

Version 0.1.3

This release includes the following updates:

• Add a benchmark class. Users can integrate fibber benchmark to other projects. The class supports customized datasets, target classifier and attacking method.
• Migrate from Travis CI to Github Action.
• Move adversarial-attack-related aggragation functions from benchmark module to metric module.

v0.1.2

Version 0.1.2

This minor release add pretrained classifiers and downloadable resources on a demo dataset, and a
demo Colab.