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Uncovering Download Fraud Activities in Mobile App Markets
v1v2 (latest)

Uncovering Download Fraud Activities in Mobile App Markets

International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2019
5 July 2019
Yingtong Dou
Weijian Li
Zhirong Liu
Zhenhua Dong
Jiebo Luo
Philip S. Yu
ArXiv (abs)PDFHTML

Papers citing "Uncovering Download Fraud Activities in Mobile App Markets"

4 / 4 papers shown
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly DetectorInternational Conference on Learning Representations (ICLR), 2024
Jinghan Li
Yuan Gao
Jinda Lu
Cunchun Li
Congcong Wen
Hui Lin
Xiang Wang
538
13
0
09 Oct 2024
RacketStore: Measurements of ASO Deception in Google Play via Mobile and
  App Usage
RacketStore: Measurements of ASO Deception in Google Play via Mobile and App UsageACM/SIGCOMM Internet Measurement Conference (IMC), 2021
Nestor Hernandez
Ruben Recabarren
Bogdan Carbunar
Syed Ishtiaque Ahmed
290
3
0
19 Nov 2021
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A SurveyInternational Journal of Computer Vision (IJCV), 2021
Jingkang Yang
Kaiyang Zhou
Shouqing Yang
Ziwei Liu
939
1,329
0
21 Oct 2021
Alleviating the Inconsistency Problem of Applying Graph Neural Network
  to Fraud Detection
Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud DetectionAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020
Zhiwei Liu
Yingtong Dou
Philip S. Yu
Yutong Deng
Hao Peng
GNN
351
359
0
01 May 2020
1
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