Abstract: Machine learning plays a crucial role in autonomous vehicles, particularly in driver assistance technologies that enhance driving efficiency or eliminate the need for human intervention. One ...

This tutorial is an adaptation of the NumPy Tutorial from Tensorflow.org. To run this tutorial, I assume you already have access to the WAVE HPC with a user account and the ability to open a terminal ...

ABSTRACT: This paper proposes a structured data prediction method based on Large Language Models with In-Context Learning (LLM-ICL). The method designs sample selection strategies to choose samples ...

Abstract: Adversarial Machine Learning (AML) is a fascinating and fast-growing research direction and area of practical interest. Deployed Machine Learning (ML) models are known to be vulnerable to ...

ABSTRACT: To provide quantitative analysis of strategic confrontation game such as cross-border trades like tariff disputes and competitive scenarios like auction bidding, we propose an alternating ...

Adversarial machine learning, a technique that attempts to fool models with deceptive data, is a growing threat in the AI and machine learning research community. The most common reason is to cause a ...

This repo corresponds to jupyter notebooks, ROOT macros and scripts that have been created in order to give concrete examples for people to use in order to start working with machine learning. There ...