4 papers
SoK: A Comprehensive Analysis of the Current Status of Neural Tangent Generalization Attacks with Research Directions
Thushari Hapuarachchi, Kaiqi Xiong
There is recently a serious issue that Deep Neural Networks (DNNs) training uses more and more unauthorized data. A clean-label generalization attack, one type of data poisoning at…
Studying Various Activation Functions and Non-IID Data for Machine Learning Model Robustness
Long Dang, Thushari Hapuarachchi, Kaiqi Xiong +1
Adversarial training is an effective method to improve the machine learning (ML) model robustness. Most existing studies typically consider the Rectified linear unit (ReLU) activat…
Securing Traffic Sign Recognition Systems in Autonomous Vehicles
Thushari Hapuarachchi, Long Dang, Kaiqi Xiong
Deep Neural Networks (DNNs) are widely used for traffic sign recognition because they can automatically extract high-level features from images. These DNNs are trained on large-sca…
SDN-Based False Data Detection With Its Mitigation and Machine Learning Robustness for In-Vehicle Networks
Long Dang, Thushari Hapuarachchi, Kaiqi Xiong +1
As the development of autonomous and connected vehicles advances, the complexity of modern vehicles increases, with numerous Electronic Control Units (ECUs) integrated into the sys…