Generalized out-of-distribution detection: A survey
Abstract Out-of-distribution (OOD) detection is critical to ensuring the reliability and safety of
machine learning systems. For instance, in autonomous driving, we would like the driving …
machine learning systems. For instance, in autonomous driving, we would like the driving …
Alleviating the inconsistency problem of applying graph neural network to fraud detection
Graph-based models have been widely used to fraud detection tasks. Owing to the
development of Graph Neural Networks~(GNNs), recent works have proposed many GNN …
development of Graph Neural Networks~(GNNs), recent works have proposed many GNN …
[HTML][HTML] Machine learning algorithms for fraud prediction in property insurance: Empirical evidence using real-world microdata
MK Severino, Y Peng - Machine Learning with Applications, 2021 - Elsevier
This paper evaluated fraud prediction in property insurance claims using various machine
learning models based on real-world data from a major Brazilian insurance company. The …
learning models based on real-world data from a major Brazilian insurance company. The …
Contradiction in text review and apps rating: prediction using textual features and transfer learning
Mobile app stores, such as Google Play, have become famous platforms for practically all
types of software and services for mobile phone users. Users may browse and download …
types of software and services for mobile phone users. Users may browse and download …
Understanding incentivized mobile app installs on google play store
" Incentivized" advertising platforms allow mobile app developers to acquire new users by
directly paying users to install and engage with mobile apps (eg, create an account, make in …
directly paying users to install and engage with mobile apps (eg, create an account, make in …
Political leaders in the app ecosystem
R Quevedo-Redondo, N Navarro-Sierra… - Social sciences, 2021 - mdpi.com
This article analyzes the process of symbolic and critical-discursive construction of
applications developed for mobile devices for some of the world's most important heads of …
applications developed for mobile devices for some of the world's most important heads of …
Botspot++: A hierarchical deep ensemble model for bots install fraud detection in mobile advertising
Mobile advertising has undoubtedly become one of the fastest-growing industries in the
world. The influx of capital attracts increasing fraudsters to defraud money from advertisers …
world. The influx of capital attracts increasing fraudsters to defraud money from advertisers …
Unveiling Collusion-Based Ad Attribution Laundering Fraud: Detection, Analysis, and Security Implications
In recent years, the growth of mobile advertising has been driven by in-app programmatic
advertising and technologies like Real-Time Bidding (RTB). However, this growth has also …
advertising and technologies like Real-Time Bidding (RTB). However, this growth has also …
No signal left to chance: driving browser extension analysis by download patterns
P Picazo-Sanchez, B Eriksson… - Proceedings of the 38th …, 2022 - dl.acm.org
Browser extensions are popular small applications that allow users to enrich their browsing
experience. Yet browser extensions pose security concerns because they can leak user …
experience. Yet browser extensions pose security concerns because they can leak user …
BotSpot: A hybrid learning framework to uncover bot install fraud in mobile advertising
Mobile advertising has become inarguably one of the fastest growing industries all over the
world. The influx of capital attracts increasing fraudsters to defraud money from advertisers …
world. The influx of capital attracts increasing fraudsters to defraud money from advertisers …