PATR: A Novel Poisoning Attack Based on Triangle Relations Against Deep Learning-Based Recommender Systems

Chao, Meiling; Gao, Min; Zhang, Junwei; Wang, Zongwei; Zhao, Quanwu; He, Yulin

doi:10.1007/978-3-030-92638-0_26

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

2021

DOI: 10.1007/978-3-030-92638-0_26

|View full text |Cite

PATR: A Novel Poisoning Attack Based on Triangle Relations Against Deep Learning-Based Recommender Systems

Meiling Chao

Min Gao

Junwei Zhang

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2023

Publication Types

Select...

Other1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Data Hybrid Attacks Based on Sensitive Users in Recommender Systems

Zhou,

Gao,

Chao

et al. 2023

2023 7th Asian Conference on Artificial Intelligence Technology (ACAIT)

View full text Add to dashboard Cite

Data Hybrid Attacks Based on Sensitive Users in Recommender Systems

Zhou,

Gao,

Chao

et al. 2023

2023 7th Asian Conference on Artificial Intelligence Technology (ACAIT)

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

PATR: A Novel Poisoning Attack Based on Triangle Relations Against Deep Learning-Based Recommender Systems

Cited by 1 publication

References 24 publications

Data Hybrid Attacks Based on Sensitive Users in Recommender Systems

Data Hybrid Attacks Based on Sensitive Users in Recommender Systems

Contact Info

Product

Resources

About