1 citations · 1 across the 4 of their papers we have counts for
4 papers
Autoencoder-based Denoising Defense against Adversarial Attacks on Object Detection
Min Geun Song, Gang Min Kim, Woonmin Kim +4
Deep learning-based object detection models play a critical role in real-world applications such as autonomous driving and security surveillance systems, yet they remain vulnerable…
AI-based Attack Graph Generation
Sangbeom Park, Jaesung Lee, Jeong Do Yoo +5
With the advancement of IoT technology, many electronic devices are interconnected through networks, communicating with each other and performing specific roles. However, as numero…
C-ITS Environment Modeling and Attack Modeling
Jaewoong Choi, Min Geun Song, Hyosun Lee +5
As technology advances, cities are evolving into smart cities, with the ability to process large amounts of data and the increasing complexity and diversification of various elemen…
RTPS Attack Dataset Description
Dong Young Kim, Dongsung Kim, Yuchan Song +4
This paper explains all about our RTPS datasets. We collect malicious/benign packet data by injecting attack data in an Unmanned Ground Vehicle (UGV) in the normal state. We assemb…