10 citations · 10 across the 4 of their papers we have counts for
4 papers
CovAgent: Overcoming the 30% Curse of Mobile Application Coverage with Agentic AI and Dynamic Instrumentation
Wei Minn, Biniam Fisseha Demissie, Yan Naing Tun +4
Automated GUI testing is crucial for ensuring the quality and reliability of Android apps. However, the efficacy of existing UI testing techniques is often limited, especially in t…
VLM-Fuzz: Vision Language Model Assisted Recursive Depth-first Search Exploration for Effective UI Testing of Android Apps
Biniam Fisseha Demissie, Yan Naing Tun, Lwin Khin Shar +1
Testing Android apps effectively requires a systematic exploration of the app's possible states by simulating user interactions and system events. While existing approaches have pr…
Real-time Threat Detection Strategies for Resource-constrained Devices
Mounia Hamidouche, Biniam Fisseha Demissie, Bilel Cherif
As more devices connect to the internet, it becomes crucial to address their limitations and basic security needs. While much research focuses on utilizing ML and DL to tackle secu…
AnFlo: Detecting Anomalous Sensitive Information Flows in Android Apps
Biniam Fisseha Demissie, Mariano Ceccato, Lwin Khin Shar
Smartphone apps usually have access to sensitive user data such as contacts, geo-location, and account credentials and they might share such data to external entities through the I…