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Found 3 papers, 1 papers with code
FairSISA: Ensemble Post-Processing to Improve Fairness of Unlearning in LLMs
We evaluate the performance-fairness trade-off for SISA, and empirically demsontrate that SISA can indeed reduce fairness in LLMs.
AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against Interpretable Models
We evaluate AUTOLYCUS on six machine learning datasets, measuring the accuracy and similarity of the surrogate model to the target model.
Federated Unlearning: How to Efficiently Erase a Client in FL?
With privacy legislation empowering the users with the right to be forgotten, it has become essential to make a model amenable for forgetting some of its training data.
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