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1. mismatched machine unlearning
Title: Decoupling the Class Label and the Target Concept in Machine Unlearning
arXiv: https://arxiv.org/abs/2406.08288
2. evaluation of LLM unlearning
Title: Unl…
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Hi, yiliu, I notice that you have set the federated unlearning repo private or deleted it, could you please share it again? I am interested in your adahessian optimizer to accelerate local training.
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Potion: Towards Poison Unlearning
ArXiv: https://arxiv.org/abs/2406.09173
GitHub: https://github.com/if-loops/towards_poison_unlearning
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# Experiments
Idea: Repeat most of the unlearning experiments (continuous, batch, sequential) with harmfulness and evaluate. Based on the results decide the best hyperparameters for unlearning fren…
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The new paper about LLM Unlearning Benchmark (parametric-based)
Arxiv: arxiv.org/abs/2406.11614
Website: https://yihuaihong.github.io/ConceptVectors.github.io/
Github: https://github.com/yihuaihon…
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Federated Unlearning: a Perspective of Stability and Fairness
https://arxiv.org/abs/2402.01276
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Hello, I am very interested in your work, but I met some problems when I reproduced it. First, I want to replicate four experiments. For the partitioning experiment, the batch file referenced was dele…
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Hi, is there any script for object erasure training and evaluation code? Thank you.
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So far, we've run continuous unlearning for up to 1200 steps (eq. 2400 samples), while sequential and batch ran for longer, leading to more optimiser steps. **A corresponding ablation study should be …
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Learning and Unlearning to Operate Profitable Secure Electric Vehicle Charging
https://ieeexplore.ieee.org/abstract/document/10541863