koudounasalkis/UnSLU-BENCH
This repo contains the code for <<"Alexa, can you forget me?” Machine Unlearning Benchmark on Spoken Language Understanding>>
This project helps researchers and developers understand how effectively machine unlearning methods can remove specific data from spoken language understanding (SLU) models. It takes various SLU models (like those behind voice assistants) and applies different unlearning techniques. The output provides detailed metrics on how well the models 'forget' the specified data while retaining their overall performance. This is for professionals working with privacy compliance, data governance, or ethical AI in speech technology.
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Use this if you need to evaluate or compare different techniques for removing sensitive or unwanted information from voice assistant models.
Not ideal if you are looking for a plug-and-play solution for general data unlearning outside of spoken language understanding or for immediate production deployment.
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Language
Python
License
Apache-2.0
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Last pushed
Jun 05, 2025
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