Recommendation Unlearning

Author:

Chen Chong1,Sun Fei2,Zhang Min1,Ding Bolin3

Affiliation:

1. Tsinghua University, China

2. Alibaba Group, China

3. Alibaba Group, USA

Publisher

ACM

Reference52 articles.

1. Machine Unlearning

2. Towards Making Systems Forget with Machine Unlearning

3. Nicholas Carlini , Chang Liu , Úlfar Erlingsson , Jernej Kos , and Dawn Song . 2019 . The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks . In Proceedings of the 28th USENIX Conference on Security Symposium ( Santa Clara, CA, USA). USENIX Association, USA, 267–284. Nicholas Carlini, Chang Liu, Úlfar Erlingsson, Jernej Kos, and Dawn Song. 2019. The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks. In Proceedings of the 28th USENIX Conference on Security Symposium (Santa Clara, CA, USA). USENIX Association, USA, 267–284.

4. Nicholas Carlini , Florian Tramèr , Eric Wallace , Matthew Jagielski , Ariel Herbert-Voss , Katherine Lee , Adam Roberts , Tom Brown , Dawn Song , Úlfar Erlingsson , Alina Oprea , and Colin Raffel . 2021. Extracting Training Data from Large Language Models. (Aug . 2021 ), 2633–2650. https://www.usenix.org/conference/usenixsecurity21/presentation/carlini-extracting Nicholas Carlini, Florian Tramèr, Eric Wallace, Matthew Jagielski, Ariel Herbert-Voss, Katherine Lee, Adam Roberts, Tom Brown, Dawn Song, Úlfar Erlingsson, Alina Oprea, and Colin Raffel. 2021. Extracting Training Data from Large Language Models. (Aug. 2021), 2633–2650. https://www.usenix.org/conference/usenixsecurity21/presentation/carlini-extracting

5. Gert Cauwenberghs and Tomaso Poggio . 2001. Incremental and Decremental Support Vector Machine Learning . In Advances in Neural Information Processing Systems, Vol. 13 . MIT Press , 388–394. Gert Cauwenberghs and Tomaso Poggio. 2001. Incremental and Decremental Support Vector Machine Learning. In Advances in Neural Information Processing Systems, Vol. 13. MIT Press, 388–394.

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1. Making recommender systems forget: Learning and unlearning for erasable recommendation;Knowledge-Based Systems;2024-01

2. Machine Unlearning via Representation Forgetting With Parameter Self-Sharing;IEEE Transactions on Information Forensics and Security;2024

3. Forgetting User Preference in Recommendation Systems with Label-Flipping;2023 IEEE International Conference on Big Data (BigData);2023-12-15

4. When Contrastive Learning Meets Graph Unlearning: Graph Contrastive Unlearning for Link Prediction;2023 IEEE International Conference on Big Data (BigData);2023-12-15

5. Selective and collaborative influence function for efficient recommendation unlearning;Expert Systems with Applications;2023-12

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