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cs.LG2026
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…
cs.LG2025
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…
cs.LG2025
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…