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Chaochao Chen

RAID: An In-Training Defense against Attribute Inference Attacks in Recommender Systems

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Apr 15, 2025
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Distilling Transitional Pattern to Large Language Models for Multimodal Session-based Recommendation

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Apr 13, 2025
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Bridging the Gap Between Preference Alignment and Machine Unlearning

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Apr 09, 2025
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A Neuro-inspired Interpretation of Unlearning in Large Language Models through Sample-level Unlearning Difficulty

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Apr 09, 2025
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Reproducibility Companion Paper: Making Users Indistinguishable: Attribute-wise Unlearning in Recommender Systems

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Mar 29, 2025
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Reproducibility Companion Paper:In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems

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Mar 29, 2025
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LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning

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Mar 21, 2025
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Joint Similarity Item Exploration and Overlapped User Guidance for Multi-Modal Cross-Domain Recommendation

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Feb 22, 2025
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A Survey on Recommendation Unlearning: Fundamentals, Taxonomy, Evaluation, and Open Questions

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Dec 17, 2024
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WassFFed: Wasserstein Fair Federated Learning

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Nov 11, 2024
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