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A Multi-modal Neural Embeddings Approach for Detecting Mobile
  Counterfeit Apps: A Case Study on Google Play Store

A Multi-modal Neural Embeddings Approach for Detecting Mobile Counterfeit Apps: A Case Study on Google Play Store

2 June 2020
Naveen Karunanayake
Jathushan Rajasegaran
Ashanie Gunathillake
Suranga Seneviratne
Guillaume Jourjon
ArXivPDFHTML

Papers citing "A Multi-modal Neural Embeddings Approach for Detecting Mobile Counterfeit Apps: A Case Study on Google Play Store"

3 / 3 papers shown
Title
Detecting Content Rating Violations in Android Applications: A Vision-Language Approach
Detecting Content Rating Violations in Android Applications: A Vision-Language Approach
Dishanika Denipitiyage
B. Silva
Suranga Seneviratne
A. Seneviratne
Sanjay Chawla
48
0
0
07 Feb 2025
Deep Learning for Android Malware Defenses: a Systematic Literature
  Review
Deep Learning for Android Malware Defenses: a Systematic Literature Review
Yue Liu
Chakkrit Tantithamthavorn
Li Li
Yepang Liu
AAML
35
77
0
09 Mar 2021
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
335
5,849
0
08 Jul 2016
1