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Post-Training Attribute Unlearning in Recommender Systems
arXiv
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arXiv
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由 C Chen 著作2024被引用 4 次 — In this paper, we focus on a strict but practical setting of AU, namely Post-Training Attribute Unlearning (PoT-AU), where unlearning can only ...
Post-Training Attribute Unlearning in Recommender Systems
ACM Digital Library
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ACM Digital Library
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由 C Chen 著作2024被引用 4 次 — A straightforward unlearning method is to retrain the model from scratch on the dataset that eliminates the target data. However, it is ...
Post-Training Attribute Unlearning in Recommender Systems
arXiv
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arXiv
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2024年3月11日 — In this paper, we focus on a strict but practical setting of AU, namely Post-Training Attribute Unlearning (PoT-AU), where unlearning can only ...
Post-Training Attribute Unlearning in Recommender Systems
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Semantic Scholar
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This paper proposes a two-component loss function, distinguishability loss, where a distribution-based measurement is designed to make attribute labels ...
论文笔记——Post-Training Attribute Unlearning in ...
CSDN博客
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2024年4月7日 — 随着推荐系统中隐私问题的日益凸显，推荐忘却学习受到越来越多的关注。现有的研究主要使用训练数据，即模型输入，作为忘却学习的目标。
Post-Training Attribute Unlearning in Recommender Systems
AIModels.fyi
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AIModels.fyi
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2024年10月24日 — This paper presents a method for "post-training attribute unlearning" in recommender systems. The goal is to remove specific attributes or ...
Post-Training Attribute Unlearning in Recommender Systems
智源社区
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智源社区
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Post-Training Attribute Unlearning in Recommender Systems. Chaochao Chen ,. Yizhao Zhang ,. Yuyuan Li ,. Dan Meng ,. Jun Wang ,. Xiaoli Zheng ,. Jianwei Yin.
Attribute-wise Unlearning in Recommender Systems
alphaXiv
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alphaXiv
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setting of AU, namely Post-Training Attribute Unlearning (PoT- AU), where unlearning can only be performed after the training of the recommendation model is ...
Yuyuan Li
Papers With Code
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We propose a novel federated unlearning framework based on incremental learning, which is independent of specific models and federated settings.
yizhao Zhang
Google Scholar
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Google Scholar
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Making users indistinguishable: Attribute-wise unlearning in recommender systems ... Post-training attribute unlearning in recommender systems. C Chen, Y Zhang, Y ...
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