Later archive addition

Fake Co-visitation Injection Attacks to Recommender Systems

Guolei Yang, Neil Zhenqiang Gong and Ying Cai · NDSS Symposium

Recommenders that infer relatedness from users viewing two items together can be steered by injecting fabricated co-visitation records. Framing the choice of target items and injection counts as a constrained optimisation problem lets an attacker with a limited budget force chosen recommendations on services including YouTube, eBay, Amazon, Yelp and LinkedIn.

Record

Researcher

Guolei Yang, Neil Zhenqiang Gong and Ying Cai

Published by

NDSS Symposium

In the archive

• Added to the 2016–17 archive after the original list was published

Related sources

• Talk recording
• Talk recording

Tags

• injection
• formal-analysis
• case-study
• owasp-a03-2021

This page is the archive's own catalogue record. The research is the work of Guolei Yang, Neil Zhenqiang Gong and Ying Cai, first published at the original source. Preserved copies are kept so the citation survives its host.