2 citations · 3 across the 14 of their papers we have counts for
3 papers · 1 filter
A Survey on Recommendation Unlearning: Fundamentals, Taxonomy, Evaluation, and Open Questions
Yuyuan Li, Xiaohua Feng, Chaochao Chen +1
Recommender systems have become increasingly influential in shaping user behavior and decision-making, highlighting their growing impact in various domains. Meanwhile, the widespre…
CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence
Chaochao Chen, Jiaming Zhang, Yizhao Zhang +5
With increasing privacy concerns in artificial intelligence, regulations have mandated the right to be forgotten, granting individuals the right to withdraw their data from models.…
Controllable Unlearning for Image-to-Image Generative Models via -Constrained Optimization
Xiaohua Feng, Yuyuan Li, Chaochao Chen +4
While generative models have made significant advancements in recent years, they also raise concerns such as privacy breaches and biases. Machine unlearning has emerged as a viable…