Enhancing the transferability of adversarial examples based on Nesterov momentum for recommendation systems

F Qian, B Yuan, H Chen, J Chen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The attacker's malicious behavior of injecting well-designed adversarial examples (ie, fake
users) into recommender systems will severely affect the security of systems. It's difficult to …

A Research on Shilling Attacks Based on Variational graph auto-encoders for Improving the Robustness of Recommendation Systems

Q Lu, M Gao - Proceedings of the 2024 International Conference on …, 2024 - dl.acm.org
As personalized recommendation techniques continue to evolve and be applied,
recommendation systems face a plethora of malicious attacks. In order to defend against …

Risks of e-commerce Recommender Systems: A Scoping Review

E Kathriarachchi, S Alam, K Weerasinghe, D Pauleen - 2024 - mro.massey.ac.nz
While recommender systems (RS) used in e-commerce have improved significantly
providing customers with a personalised shopping experience, scholars have constantly …

A prospective recommender system based on

YM Zhou, YY Yang - Soft Computing, 2023 - Springer
The previous works on recommending rarely involve reducing the malice eliminating time or
enhancing the reliability of data and the trustworthiness of the investigator performing the …