Haichao Zhang

Bilateral Adversarial Training: Towards Fast Training of More Robust Models Against Adversarial Attacks

2019

In this paper, we study fast training of adversarially robust models. From the analyses of the state-of-the-art defense method, i.e., the multi-step adversarial training [34], we hypothesize that the gradient magnitude links to the model …

LLM4Rail: An LLM-Augmented Railway Service Consulting Platform

2025 · arXiv (Cornell University)

Large language models (LLMs) have significantly reshaped different walks of business. To meet the increasing demands for individualized railway service, we develop LLM4Rail - a novel LLM-augmented railway service consulting platform. Empowered by LLM, LLM4Rail …