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Meifang Zeng

2 papers hereh-index 271 citations4 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.IR2

identity via Semantic Scholar / OpenAlex

most citedShilling Black-box Recommender Systems by Learning to Generate Fake User Profiles

61 citations · 61 across the 2 of their papers we have counts for

collaborators

2 papers

cs.IR2023

Practical Cross-System Shilling Attacks with Limited Access to Data

Meifang Zeng, Ke Li, Bingchuan Jiang +2

In shilling attacks, an adversarial party injects a few fake user profiles into a Recommender System (RS) so that the target item can be promoted or demoted. Although much effort h…

cs.IR2022★ 61 cited

Shilling Black-box Recommender Systems by Learning to Generate Fake User Profiles

Chen Lin, Si Chen, Meifang Zeng +3

Due to the pivotal role of Recommender Systems (RS) in guiding customers towards the purchase, there is a natural motivation for unscrupulous parties to spoof RS for profits. In th…

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