activity
20192025
most citedCooperative Multi-Agent Deep Reinforcement Learning for Reliable Surveillance via Autonomous Multi-UAV Control

249 citations · 279 across the 21 of their papers we have counts for

collaborators

23 papers

cs.CR2023

Untargeted Code Authorship Evasion with Seq2Seq Transformation

Soohyeon Choi, Rhongho Jang, DaeHun Nyang +1

Code authorship attribution is the problem of identifying authors of programming language codes through the stylistic features in their codes, a topic that recently witnessed signi…

cs.CR2023

The Infrastructure Utilization of Free Contents Websites Reveal their Security Characteristics

Mohamed Alqadhi, David Mohaisen

Free Content Websites (FCWs) are a significant element of the Web, and realizing their use is essential. This study analyzes FCWs worldwide by studying how they correlate with diff…

cs.CR20221 cited

Learning Location from Shared Elevation Profiles in Fitness Apps: A Privacy Perspective

Ulku Meteriz-Yildiran, Necip Fazil Yildiran, Joongheon Kim +1

The extensive use of smartphones and wearable devices has facilitated many useful applications. For example, with Global Positioning System (GPS)-equipped smart and wearable device…

cs.CR20222 cited

Do Content Management Systems Impact the Security of Free Content Websites? A Correlation Analysis

Mohammed Alaqdhi, Abdulrahman Alabduljabbar, Kyle Thomas +3

This paper investigates the potential causes of the vulnerabilities of free content websites to address risks and maliciousness. Assembling more than 1,500 websites with free and p…

cs.CR20223 cited

Enriching Vulnerability Reports Through Automated and Augmented Description Summarization

Hattan Althebeiti, David Mohaisen

Security incidents and data breaches are increasing rapidly, and only a fraction of them is being reported. Public vulnerability databases, e.g., national vulnerability database (N…

cs.CV2022

Self-Configurable Stabilized Real-Time Detection Learning for Autonomous Driving Applications

Won Joon Yun, Soohyun Park, Joongheon Kim +1

Guaranteeing real-time and accurate object detection simultaneously is paramount in autonomous driving environments. However, the existing object detection neural network systems a…