Unlearning Protected User Attributes in Recommendations with Adversarial
Training

Unlearning Protected User Attributes in Recommendations with Adversarial Training

9 June 2022

Christian Ganhor

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Papers citing "Unlearning Protected User Attributes in Recommendations with Adversarial Training"

17 / 17 papers shown

Title
RAID: An In-Training Defense against Attribute Inference Attacks in Recommender Systems Xiaohua Feng Yuyuan Li Fengyuan Yu Ke Xiong Junjie Fang Lulu Zhang Tianyu Du Chaochao Chen AAML 98 0 0 15 Apr 2025
FROG: Fair Removal on Graphs Zhe Chen Jiali Cheng Gabriele Tolomei Sijia Liu Hadi Amiri Yu Wang Kaushiki Nag Lu Lin MU 106 2 0 23 Mar 2025
Simultaneous Unlearning of Multiple Protected User Attributes From Variational Autoencoder Recommenders Using Adversarial Training Gustavo Escobedo Christian Ganhor Stefan Brandl Mirjam Augstein Markus Schedl MU 39 2 0 28 Oct 2024
A Deep Dive into Fairness, Bias, Threats, and Privacy in Recommender Systems: Insights and Future Research Falguni Roy Xiaofeng Ding K. -K. R. Choo Pan Zhou FaML 48 0 0 19 Sep 2024
CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence Chaochao Chen Jiaming Zhang Yizhao Zhang Li Zhang Lingjuan Lyu Yuyuan Li Biao Gong Chenggang Yan CML ELM MU 95 3 0 26 Aug 2024
Towards Trustworthy AI: A Review of Ethical and Robust Large Language Models Meftahul Ferdaus Mahdi Abdelguerfi Elias Ioup Kendall N. Niles Ken Pathak Steve Sloan 128 14 0 01 Jun 2024
Machine Unlearning: A Comprehensive Survey Weiqi Wang Zhiyi Tian Chenhan Zhang Shui Yu MU AILaw 88 18 0 13 May 2024
Towards Efficient and Effective Unlearning of Large Language Models for Recommendation Hangyu Wang Jianghao Lin Bo Chen Yang Yang Ruiming Tang Weinan Zhang Yong Yu MU 105 11 0 06 Mar 2024
Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters Shahed Masoudian Cornelia Volaucnik Markus Schedl Navid Rekabsaz 73 6 0 29 Jan 2024
Machine Unlearning for Recommendation Systems: An Insight Bhavika Sachdeva Harshita Rathee Sristi Arun Sharma Witold Wydmañski MU 141 5 0 17 Jan 2024
Machine unlearning through fine-grained model parameters perturbation Zhiwei Zuo Zhuo Tang KenLi Li Anwitaman Datta AAML MU 135 0 0 09 Jan 2024
Making Users Indistinguishable: Attribute-wise Unlearning in Recommender Systems Yuyuan Li Chaochao Chen Xiaolin Zheng Yizhao Zhang Zhongxuan Han Dan Meng Jun Wang MU 79 23 0 06 Oct 2023
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy T. Shaik Xiaohui Tao Haoran Xie Lin Li Xiaofeng Zhu Qingyuan Li MU 123 30 0 10 May 2023
Parameter-efficient Modularised Bias Mitigation via AdapterFusion Deepak Kumar Oleg Lesota George Zerveas Daniel Cohen Carsten Eickhoff Markus Schedl Navid Rekabsaz MoMe KELM 75 28 0 13 Feb 2023
Efficient Bi-Level Optimization for Recommendation Denoising Zongwei Wang Min Gao Wentao Li Junliang Yu Linxin Guo Hongzhi Yin 89 31 0 19 Oct 2022
Modular and On-demand Bias Mitigation with Attribute-Removal Subnetworks Lukas Hauzenberger Shahed Masoudian Deepak Kumar Markus Schedl Navid Rekabsaz 82 18 0 30 May 2022
Making Recommender Systems Forget: Learning and Unlearning for Erasable Recommendation Yuyuan Li Xiaolin Zheng Chaochao Chen Junlin Liu MU 92 47 0 22 Mar 2022