Latest trends of security and privacy in recommender systems: a comprehensive review and future perspectives
With the widespread use of Internet of things (IoT), mobile phones, connected devices and
artificial intelligence (AI), recommender systems (RSs) have become a booming technology …
artificial intelligence (AI), recommender systems (RSs) have become a booming technology …
A comprehensive survey on trustworthy recommender systems
As one of the most successful AI-powered applications, recommender systems aim to help
people make appropriate decisions in an effective and efficient way, by providing …
people make appropriate decisions in an effective and efficient way, by providing …
A survey on trustworthy recommender systems
Recommender systems (RS), serving at the forefront of Human-centered AI, are widely
deployed in almost every corner of the web and facilitate the human decision-making …
deployed in almost every corner of the web and facilitate the human decision-making …
Triple adversarial learning for influence based poisoning attack in recommender systems
As an important means to solve information overload, recommender systems have been
widely applied in many fields, such as e-commerce and advertising. However, recent studies …
widely applied in many fields, such as e-commerce and advertising. However, recent studies …
Influence-driven data poisoning for robust recommender systems
Recent studies have shown that recommender systems are vulnerable, and it is easy for
attackers to inject well-designed malicious profiles into the system, resulting in biased …
attackers to inject well-designed malicious profiles into the system, resulting in biased …
Mitigating manipulation in peer review via randomized reviewer assignments
We consider three important challenges in conference peer review:(i) reviewers maliciously
attempting to get assigned to certain papers to provide positive reviews, possibly as part of …
attempting to get assigned to certain papers to provide positive reviews, possibly as part of …
Influencing recommendation algorithms to reduce the spread of unreliable news by encouraging humans to fact-check articles, in a field experiment
JN Matias - Scientific Reports, 2023 - nature.com
Society often relies on social algorithms that adapt to human behavior. Yet scientists
struggle to generalize the combined behavior of mutually-adapting humans and algorithms …
struggle to generalize the combined behavior of mutually-adapting humans and algorithms …
A survey of attack detection approaches in collaborative filtering recommender systems
F Rezaimehr, C Dadkhah - Artificial Intelligence Review, 2021 - Springer
Nowadays, due to the increasing amount of data, the use of recommender systems has
increased. Therefore, the quality of the recommendations for the users of these systems is …
increased. Therefore, the quality of the recommendations for the users of these systems is …
Fight fire with fire: towards robust recommender systems via adversarial poisoning training
Recent studies have shown that recommender systems are vulnerable, and it is easy for
attackers to inject well-designed malicious profiles into the system, leading to biased …
attackers to inject well-designed malicious profiles into the system, leading to biased …
A review on matrix completion for recommender systems
Recommender systems that predict the preference of users have attracted more and more
attention in decades. One of the most popular methods in this field is collaborative filtering …
attention in decades. One of the most popular methods in this field is collaborative filtering …