Poisoning GNN-based Recommender Systems with Generative Surrogate-based Attacks
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Poisoning GNN-based Recommender Systems with Generative Surrogate-based Attacks
Authors
Keywords
-
Journal
ACM TRANSACTIONS ON INFORMATION SYSTEMS
Volume -, Issue -, Pages -
Publisher
Association for Computing Machinery (ACM)
Online
2022-10-19
DOI
10.1145/3567420
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Learning to Learn a Cold-start Sequential Recommender
- (2022) Xiaowen Huang et al. ACM TRANSACTIONS ON INFORMATION SYSTEMS
- Bi-CLKT: Bi-Graph Contrastive Learning based Knowledge Tracing
- (2022) Xiangyu Song et al. KNOWLEDGE-BASED SYSTEMS
- JUDO: Just-in-time rumour detection in streaming social platforms
- (2021) Thanh Toan Nguyen et al. INFORMATION SCIENCES
- JKT: A joint graph convolutional network based Deep Knowledge Tracing
- (2021) Xiangyu Song et al. INFORMATION SCIENCES
- Poisoning attacks against knowledge graph-based recommendation systems using deep reinforcement learning
- (2021) Zih-Wun Wu et al. NEURAL COMPUTING & APPLICATIONS
- Fast-adapting and privacy-preserving federated recommender system
- (2021) Qinyong Wang et al. VLDB JOURNAL
- LegalGNN: Legal Information Enhanced Graph Neural Network for Recommendation
- (2021) Jun Yang et al. ACM TRANSACTIONS ON INFORMATION SYSTEMS
- Improving Implicit Recommender Systems with Auxiliary Data
- (2020) Jingtao Ding et al. ACM TRANSACTIONS ON INFORMATION SYSTEMS
- Efficient Neural Matrix Factorization without Sampling for Recommendation
- (2020) Chong Chen et al. ACM TRANSACTIONS ON INFORMATION SYSTEMS
- Exploiting Cross-session Information for Session-based Recommendation with Graph Neural Networks
- (2020) Ruihong Qiu et al. ACM TRANSACTIONS ON INFORMATION SYSTEMS
- On Scalability of Association-rule-based Recommendation
- (2020) Zhiang Wu et al. ACM Transactions on the Web
- A survey of attack detection approaches in collaborative filtering recommender systems
- (2020) Fatemeh Rezaimehr et al. ARTIFICIAL INTELLIGENCE REVIEW
- Deep Learning for Sequential Recommendation
- (2020) Hui Fang et al. ACM TRANSACTIONS ON INFORMATION SYSTEMS
- Structural representation learning for network alignment with self-supervised anchor links
- (2020) Thanh Toan Nguyen et al. EXPERT SYSTEMS WITH APPLICATIONS
- Deep Learning Based Recommender System
- (2019) Shuai Zhang et al. ACM COMPUTING SURVEYS
- A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications
- (2018) HongYun Cai et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Shilling attacks against collaborative recommender systems: a review
- (2018) Mingdan Si et al. ARTIFICIAL INTELLIGENCE REVIEW
- A Survey of Predictive Modeling on Imbalanced Domains
- (2016) Paula Branco et al. ACM COMPUTING SURVEYS
- Shilling attacks against recommender systems: a comprehensive survey
- (2012) Ihsan Gunes et al. ARTIFICIAL INTELLIGENCE REVIEW
- Matrix Factorization Techniques for Recommender Systems
- (2009) Yehuda Koren et al. COMPUTER
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started